Industry Reports – HackerRank Blog https://www.hackerrank.com/blog Leading the Skills-Based Hiring Revolution Fri, 26 Apr 2024 17:00:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.5 https://www.hackerrank.com/blog/wp-content/uploads/hackerrank_cursor_favicon_480px-150x150.png Industry Reports – HackerRank Blog https://www.hackerrank.com/blog 32 32 2024 Developer Skills Report: New Trends in Hiring and Upskilling https://www.hackerrank.com/blog/2024-developer-skills-report/ https://www.hackerrank.com/blog/2024-developer-skills-report/#respond Wed, 07 Feb 2024 21:11:10 +0000 https://www.hackerrank.com/blog/?p=19301 2023 was a wild year for software developers. Layoffs and tech hiring slowdowns created a...

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2023 was a wild year for software developers. Layoffs and tech hiring slowdowns created a sense of economic uncertainty, while AI’s sudden leap to mainstream use is already disrupting how developers write code and how companies think about their skills strategies. 
After such major upheaval, it’s only natural to ask – what the heck is going on?

We explore that question in our 2024 Developer Skills Report. As the leader in evaluating developer skills, we leveraged original platform data and survey responses to observe what’s really happening in tech hiring and skills.

Key Findings

Market Optimism

The end of 2022 and the first half of 2023 were dicey in the hiring market, and tech in particular.

However from July 2023 forward, we’ve seen several signals that things may be heading in a more positive direction. New test creations are up 58% and test invites are up 86% since July 2023.

Market Concerns

Despite these positive signals, concerns about layoffs or a recession still linger.

52% of developers remain concerned about layoffs. Generally, developers are less vulnerable to layoffs compared to other disciplines, but there is plenty of anecdotal data from friends, coworkers, and social feeds to stoke anxieties regardless.

Similarly, nearly half of developers feel their industry is in a recession. Fortunately, though, 68% of developers think conditions will be better in 2024.

AI Goes Mainstream

AI has already become a staple in tech roles, altering work methodologies and skill strategies. The increase in AI-focused skill assessments signals organizations are rapidly seeking technical talent with this skill set.

Developer Perceptions vs. Management Views

A significant gap exists between what developers value and what executives, managers, and recruiters believe they value. This disparity extends to perceptions about job security, opportunities, and the effectiveness of upskilling programs.

Skills Verification Is Vital to Hiring and Upskilling Initiatives

Assessing technical skills – and having confidence in your findings – is critical for any company to hire, upskill, and promote their developers. But developers don’t sense their organizations have an accurate understanding of their existing skills. Neither developers or management feel a 4 year college degree prepares them adequately for today’s workforce.

Developers are opportunity-minded

In the current economic climate, managers, leaders, and recruiters all say developers value security more than opportunity, by about 40% to 33%. 

Developers disagree. 44% to 27%, developers place more importance on opportunity. 

Don’t get complacent. Developers aren’t hunkered down, grateful just to have a job. They will move on if the right opportunity presents itself.

 

For more on these and other findings, check out our 2024 Developer Skills Report.

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AI Is Changing How Developers Work — and How Companies Hire Skills https://www.hackerrank.com/blog/developer-skills-ai-report/ https://www.hackerrank.com/blog/developer-skills-ai-report/#respond Mon, 24 Apr 2023 15:48:48 +0000 https://bloghr.wpengine.com/blog/?p=18645 Are you ready for the AI revolution in coding and software development? Our new Developer...

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Are you ready for the AI revolution in coding and software development? Our new Developer Skills: AI report reveals key insights that every developer and tech hiring team should know.

The AI revolution is changing the very nature of what it means to be a developer. Our survey of more than 42,000 global developers in February and March 2023 showed that 82% of developers believe AI will redefine the future of coding. Furthermore, 75% are already adjusting their skills to keep up with this game-changing shift. With such a significant impact on the industry, it’s crucial for both developers and companies to understand these changes and adapt accordingly.

“We’ve entered an AI revolution that is poised to change the very nature of what it means to be a developer and write code,” said Vivek Ravisankar, co-founder and CEO at HackerRank. “I see the result of this revolution as faster innovation than ever before, the democratization of development, and expanded opportunities for developer creativity. And this is just the tip of the iceberg.”

AI Is Already Being Used to Augment Coding Tasks

75% of developers will be adjusting their skills in response to AI.

The report found that developers and employers alike are racing to embrace artificial intelligence in the workplace. Access to AI assistants will transform key elements of development work—automating many repetitive or tedious tasks and creating space for more abstract thinking and creative problem-solving.

“AI is set to become a key part of developer workflows, with the rise of AI assistants like GitHub Copilot and all-purpose tools such as ChatGPT,” said Ankit Arya, Principal Product Manager, AI at HackerRank. “Personally, I use ChatGPT for retrieving information or code snippets while coding, and I find it way more efficient than traditional search engines. AI’s potential lies in augmenting developers’ skills rather than replacing them.”

On the Hiring Front, an Uptick in Demand for AI Skill Sets

Coding tests with AI-related questions jumped 81% after ChatGPT launched.

Employers, too, must prepare for this AI revolution. They face pressure to find, hire, and nurture teams with the technical skills required to capitalize on new innovation and business opportunities driven by AI advancements. We have seen an 81% increase in the creation of new assessments with AI-related questions on our platform since ChatGPT’s public launch in November 2022, signaling a growing interest in hiring for AI-centered skill sets.

Our report also revealed a gap between the AI skills companies need and the skills they’re currently testing for. Our analysis of nearly 1,000 job descriptions revealed that the most in-demand skills for AI-related roles are machine learning, Python, PyTorch, TensorFlow, deep learning, and AWS. However, companies continue to test for more general and conceptual topics, like problem solving and statistics.

To remain competitive, developers need to adapt their skills, and companies need to refine their hiring practices. With the AI revolution already underway, it’s more important than ever to stay informed and embrace the changes it brings.

Don’t miss the chance to stay ahead of the curve—download the Developer Skills: AI report now and get the insights you need to navigate the AI-driven future of coding and software development.

Download the Developer Skills AI Report

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5 Changes Developers Want to See in Your Interview Process https://www.hackerrank.com/blog/changes-developers-want-interview-process/ https://www.hackerrank.com/blog/changes-developers-want-interview-process/#respond Tue, 21 Feb 2023 21:09:32 +0000 https://bloghr.wpengine.com/blog/?p=18561 The processes companies use to hire developers have huge implications for their ability to build...

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The processes companies use to hire developers have huge implications for their ability to build high performing teams. But what do developers think of employers’ hiring processes? And are they happy with the current state of affairs?

To answer these questions, we took to our community of developers on LinkedIn to get their opinions, and created an ebook highlighting the key takeaways. 

From interview prep and employer communication to the factors that influence their decision to accept an offer, the developers shared their thoughts on all things technical hiring. And, if we’re being honest, their answers surprised us.

75% of Developers Think Technical Interviews Are Broken

One of the most shocking findings of our survey was the generally negative sentiment developers have about the current state of technical interviews. One of the polls we conducted asked developers whether or not they thought that technical interviews are broken.

It turns out that the answer is yes, overwhelmingly so. Some 57% of respondents agreed that technical interviews are broken, and 18% strongly agreed. The reasons for this sentiment are many, and include irrelevant interview questions, inadequate time limits, and the use of outdated interview tech.

If you’re an employer, this statistic might scare you. For every four candidates you interview, three will be frustrated with your hiring process. This is an urgent problem, because developer dissatisfaction with technical interviews has a direct impact on hiring outcomes. 

Unhappy Developers Lead to Unaccepted Offers

In another poll we conducted, 34% of developers reported that the quality of interview questions impacted their decision to accept a job offer. And another 26% of developers identified candidate experience as the main factor influencing their decision to accept a job offer. 

Indeed, a developer’s experience during the hiring process has a real impact on their decision to accept a job offer. Fortunately, developers identified a number of changes they’d like to see in how the tech industry interviews.

Key Takeaways

Embrace Shorter Interviews

92% of developers think technical interviews should be one hour or less. Of that 92%, half think interviews should be one hour. The other half (46% of total) think interviews should only be 30 minutes.

That’s far shorter than current industry standards. But when more than nine in 10 developers agree on something, it’s worth listening. 

Embrace shorter interviews. Your candidates—and likely your interviewers—will appreciate it.

More Real-World Questions

When it comes to improving technical interviews, 65% of developers said they wanted more real-world questions.

While algorithmic-style challenges have been a staple of technical interviews for some time, there is growing frustration with this format among candidates. 

Consider posing real-world technical challenges instead. Not only will you better deliver on developer preferences, but you’ll also enable your hiring team to evaluate the skills a candidate actually needs on the job. 

But asking the right questions doesn’t just help your team identify candidates with the right skills. 34% of developers said the quality of interview questions impacts their decision to accept a job offer. 

A Future Driven by Real-World Skills

Developers aren’t happy with the current way the tech industry conducts coding interviews. However, their responses also indicated strategies that employers can use to build more effective and equitable hiring processes.

To learn more about these developer-sourced interviewing strategies, check out our ebook: 5 Changes Developers Want to See in Your Hiring Process.

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The 15 Most Popular Programming Languages of 2023 https://www.hackerrank.com/blog/most-popular-languages-2023/ https://www.hackerrank.com/blog/most-popular-languages-2023/#respond Tue, 13 Dec 2022 20:57:09 +0000 https://bloghr.wpengine.com/blog/?p=18517 The past few years have seen plenty of uncertainty in the tech industry. Yet even...

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The past few years have seen plenty of uncertainty in the tech industry. Yet even as the broader economic outlook appears to be softening, the demand – and competition – for skilled tech talent has only increased.

To get an unbiased, unparalleled view into the programming language popularity, HackerRank undertook an intensive study of our platform data. From the supremacy of Java and Python to the rise of Go and TypeScript, 2023 is on track to be a pivotal year for developer skills.

Methodology

Our ranking of the most popular programming languages draws from our 2023 Developer Skills Report. In that report, we used exclusive data from the HackerRank platform to understand employer demand, developer preference, and candidate engagement.

We tracked the popularity of languages by analyzing the languages candidates chose to use on assessments with multiple options available, as well as their proficiency in those languages. For key languages on our list, we’ve included data and insights on employer demand for the skill. We also included HankerRank Community practice data to get a full spectrum of skill preferences. The rates of change for data are based on the difference between volume in 2021 and 2022. In total, our analysis is based on the language preferences of 2.8 million developers.

The Most Popular Programming Languages

#1. Java

What this language is used for: 

  • Mobile applications
  • Cloud applications
  • Video game development
  • IoT devices
  • Web-based applications
  • Big data
  • Machine learning

Java is a high-level, object-oriented programming language used to create complete applications. The language is platform independent, allowing it to run on any device that supports its environment. 

This combination of performance and versatility made Java the most popular programming language with developers in 2021 and 2022. You can do just about anything with Java. (Well, almost anything.) 

Building a machine learning model? Check. Developing IoT software for a smart fridge? Java has you covered. And of course, it’s the official language for Android development, the leading smartphone system in the world. Big data frameworks such as Apache Spark and Hadoop have also made Java a popular supporting skill for data scientists. Java usage is widespread, with companies such as Google, Netflix, Uber, and Spotify using the language.

Growing in popularity at a rate of 155%, Java is likely to retain its number one position for the foreseeable future.

#2. Python

What this language is used for: 

  • Web development
  • Data analysis
  • Data visualization
  • Task automation
  • Machine learning

Python is an interpreted, high-level, general-purpose programming language, and one of the most popular languages for rapid development.

There are a number of reasons behind Python’s popularity with developers. It’s easy to learn, usable on nearly every project, and vital for the field of data science. There’s also a range of powerful Python frameworks, including Django, Bottle, Web2Py, and PyScript. Python usage is also widespread, with companies including Intel, IBM, Netflix, and Meta using the language.

#3. C++

What this language is used for: 

  • Browser rendering
  • Device operating systems
  • Video game development
  • Cloud systems
  • Banking applications

C++ is a general purpose, compiled, and statically typed programming language. Known as “C with Classes,” C++ is an extension of C with the functionality of user-defined data classes. 

The high performance of C++ has made it the top language for use cases requiring fast rendering, including browsers, banking applications, and motion design software.

Another major contributor to C++’s ubiquity is its ability to work closely with system hardware. Developers use C++ as their first choice for hardware-oriented applications, including video game engines, operating systems, and cloud systems.

Another contributor to C++’s ubiquity is its age. C++ is more than 40 years old. In that time, it’s grown to support millions of applications, and developers have perfected it with new libraries and 20 updates. Beyond new application development, C++ skills are vital for maintaining existing applications and infrastructure. 

While C++ rounds out the medal podium with a third-place ranking, it’s unlikely to surpass Python anytime soon. Python utilization is almost 50% higher, and their growth rates are about the same.

#4. JavaScript

What this language is used for: 

  • Web development
  • Mobile development
  • Interactive design
  • Data visualization

JavaScript is a dynamic scripting language used for adding interactive behavior to web pages and applications. The main way developers use JavaScript is to manage the behavior and user experiences of websites. But there are a number of other interesting use cases for JavaScript. Node.js is a framework that extends the functionality of JavaScript to back-end, server-side applications. And libraries like D3.js make JavaScript useful for data visualization. There are also a range of powerful JavaScript frameworks, including, React, Angular, Vue, jQuery, ExpressJS, and Backbone.

JavaScript stands out as the first front-end language on our list. And you might be wondering why it doesn’t rank higher. After all, outlets like Stack Overflow and Codecademy rank JavaScript as the top language in the world. The difference is down to methodology.

Lists like Stack Overflow’s are survey-based, which means they measure the percentage of developers who know a language. In contrast, HackerRank’s list is based on the frequency at which developers choose to use a language. This provides visibility into both the languages that developers know and their likelihood to use them.

That’s not to say that JavaScript isn’t widespread. A staggering 97.3% of all websites use JavaScript as a client-side language. And with usage increasing at a rate of 157% per year, JavaScript’s popularity is only going to grow.

#5. C#

What this language is used for: 

  • Mobile development
  • Desktop development
  • Web development
  • Enterprise applications
  • Cloud services
  • Video game development

C# is a general purpose, object-oriented, component-oriented programming language developed around 2000 by Microsoft as part of its .NET initiative. C# is based on the C family of languages, and has similarities to C, C++, Java, and JavaScript. 

An extension of C, C# adds on a number of features, including variable checking, type checking, bound checking, and garbage collection. Like other members of the C language family, C# is a popular and well-established language, with companies such as Microsoft, Stack Overflow, Accenture, and Intuit using it in their tech stack.

#6. SQL

What this language is used for: 

  • Relational database management

SQL is an industry-standard structured query language for creating, defining, implementing, accessing, and maintaining relational databases.

SQL has been growing at a steady rate of 133%, but was replaced in the top five by C#, which is growing at a rate of 173%.

SQL stands out on this list as the only database-oriented language in a crowd of front-end and back-end languages.

That fact goes a long way in explaining its placement on the list. It’s ubiquity as database management earns it strong popularity, but it’s too specialized to challenge the popularity of more versatile languages like Java, Python, and JavaScript.

#7. C

What this language is used for:

  • Enterprise applications
  • Operating systems
  • Video game development
  • Calculation-based applications
  • Programming language development

C is a general-purpose, statically-typed, and compiled programming language. C is a foundational programming language that’s become known as the mother of all languages. Many of the most popular languages are built on C, including:

  • C++
  • C#
  • Python
  • Java
  • JavaScript
  • PHP
  • Perl
  • D
  • Limbo
  • Verilog

Because C has contributed to so many other languages, developers who learn C will acquire fundamental skills that transfer to any other language.

While the languages C inspired have surpassed it in popularity, the language is still a vital part of modern development.

#8. PHP

What this language is used for: 

  • Web development
  • Desktop app development

PHP is a widely-used open source and general-purpose scripting language that is especially suited for web development.

PHP’s popularity is owed to the fact that it was one of the first server-side languages that developers could embed into HTML. It’s also fast, secure, versatile, and supported by a strong open source community.

While PHP isn’t as popular as other general-purpose languages, its specialization gives it an advantage in web development over languages like Python.

#9. Go

What this language is used for:

  • Cloud development
  • Back-end development
  • Distributed networks
  • General development

Go is an object-oriented programming language that Google created in 2009 for networking and infrastructure. But since launch it’s evolved into a general-purpose language used in a wide range of applications.

Over a decade after Go’s launch, interest in the language has continued to grow. From 2018 to 2020, Go was the number one language developers wanted to learn. Companies such as Uber, Twitch, Dropbox, and – yes, Google – are using Go in their tech stack. 

Go stands out in this list as the second fastest-growing language. This year, Go overtook Swift’s spot at number nine. And it might have enough momentum to take PHP’s ranking in the near future. Go’s popularity is growing at a rate of 190%, while PHP is growing at 145%. Add in the fact that employer demand for Go increased by 301%, and its growth may even impact the popularity of other languages. 

 #10. Swift

What this language is used for: 

  • iPhone app development
  • MacOS app development

Swift is an open source, general-purpose programming language with a focus on performance, safety, and design patterns. Designed by Apple to replace Objective-C, Swift is the go-to language for iPhone, iPad, and Mac iOS development. 

Beyond iOS, Swift is a general-purpose language suitable for a wide range of use cases. However, drawbacks such as incomplete cross-platform support and poor interoperability with third-party tools limit its versatility.

Upon its launch, developers had hoped that Swift could challenge the popularity of Python. But Swift never quite caught on as a general-purpose language, and its usage levels reflect its role as a specialized technology. This is demonstrated by its decline in popularity from nine to ten in our list. Employer demand for Swift is also limited, with it ranking thirteenth in demand.

#11. Kotlin

What this language is used for: 

  • Android development
  • Back-end development
  • Data science

Kotlin is a cross-platform, general-purpose programming language designed for safety, productivity, developer satisfaction, and Java interoperability. Kotlin is most known for its role in mobile development, with over 60% of Android developers using the language. 

Android apps that use Kotlin include Trello, Evernote, and Coursera. Beyond Android applications, developers use Kotlin for roles throughout the tech stack, including back-end development, full-stack development, and data science.

Kotlin popularity is on the rise, moving from twelfth to eleventh in popularity. However, its usage is far lower than classic languages like Java and Python. Employer demand for the language is also limited, as Kotlin doesn’t appear in our list of languages with the highest demand.

#12. Ruby

What this language is used for: 

  • Web development
  • Video game development
  • Scientific computing
  • Data processing
  • Automation tools
  • Data analysis

Ruby is an interpreted, dynamic, open-source programming language with a focus on simplicity and productivity. Ruby has a diverse range of use cases, including data-driven web apps, marketplaces, and desktop apps. 

Ruby is most known for Ruby on Rails (RoR), a framework optimized for productivity, efficiency, and DRY (Don’t Repeat Yourself). Developers have gradually shifted away from Ruby over the past several years, and it’s not surprising to see it drop from eleventh to twelfth in popularity. 

#13. TypeScript

What this language is used for: 

  • Web development
  • Mobile development
  • Enterprise-level development

TypeScript is an open-source, object-oriented language that is an extension of JavaScript, meaning JavaScript code is valid TypeScript code. Developed by Microsoft in 2012, TypeScript describes itself as “all of JavaScript, and then a bit more.” 

The language builds on the foundation of JavaScript with additional features, including classes, object-oriented techniques, and scalable code bases. TypeScript has been gaining popularity for years, and ranked 4th in GitHub’s 2022 language rankings

From 2021 to 2022, TypeScript showed large gains in its popularity with developers. With a doubletake-inducing 2,788% gain, TypeScript is growing faster than any other programming language. That popularity is also translating into hiring demand. TypeScript demand grew by a huge 392% (or 282% compared to trend).

Its growth may also affect the growth of larger languages. TypeScript is tightly linked with JavaScript. Will its growth come at the expense of JavaScript, or will it serve to amplify it?

#14. Scala

What this language is used for: 

  • Mobile development
  • Web developments
  • Big data systems
  • IoT development

Scala is a high-level, statically-typed programming language that combines object-oriented and functional programming. Its multi-paradigm approach to programming makes it ideal for a number of use cases, including big data, distributed systems, Android applications, and IoT devices. A major benefit for developers is that Scala is interoperable with Java code and libraries.

#15. R

What this language is used for: 

  • Statistical computing
  • Data analysis

R is an open-source programming language for statistical computing and data analysis. Researchers and scientists use R for data visualization and statistical analysis in a number of industries, including academia, research, fintech, retail, government, healthcare, and social media.

The popularity of R has fallen over the past several years. From 2021 to 2022, R dropped from the thirteenth to the fifteenth most popular language. And while R grew by 59% in 2022, most other languages on this list are growing two to four times faster. 

The differences in total volume are even more striking. Only 1,239 developers opted to use R in their assessments. But 484 times as many developers used Java – almost 600k. The gap in relevance between these two languages is striking.

Given all these data points, we expect another language to replace R on this list in the near future.

Key Takeaways

  • It’s unlikely that lower-ranked languages will break into the top five. The gap in volume is too great to overcome.
  • Go and TypeScript are the languages to watch. Their popularity and demand are growing at a rate unmatched by other languages.
  • Ruby, R, SQL, and Swift saw their rankings decrease. Their usage is still growing, just not fast enough.
  • General-purpose languages like Java and Python tend to outrank more specialized languages like SQL and Swift. While the popularity of specialist languages is strong, their specialization means they’ll never reach the widespread usage of more popular languages. 

For more insights about trending languages and technical skills, read HackerRank’s 2023 Developer Skills Report.

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The Most In-Demand Programming Languages for 2023 https://www.hackerrank.com/blog/most-in-demand-languages-2023/ https://www.hackerrank.com/blog/most-in-demand-languages-2023/#respond Tue, 13 Dec 2022 20:35:18 +0000 https://bloghr.wpengine.com/blog/?p=18515 There’s a lot of information about what specific programming languages developers use. But language popularity...

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There’s a lot of information about what specific programming languages developers use. But language popularity doesn’t necessarily translate to employer demand. To get an unbiased, unparalleled view into the dynamic world of in-demand programming languages, HackerRank undertook an intensive study of our platform data. 

We found that, despite recent uncertainty in the tech industry, demand for skilled tech talent hasn’t slowed down. But demand for key skills and competencies isn’t distributed evenly. Heading into 2023, we have some key projections on how demand for certain skills is changing. 

No matter how you measure it, 2023 is on track to be a pivotal year for developer skills. From the rise of Go and TypeScript to the decline of Swift and Ruby, here are a few of those key trends. 

The Most In-Demand Programming Languages

#1. Java

Java is a high-level, object-oriented programming language used to create complete applications. The language is platform independent, allowing it to run on any device that supports its environment. 

In terms of growth relative to the market, demand for top-ranked Java is actually growing slightly slower than the market. But Java still leads second-ranked Python by a strong margin. Its first-place ranking is secure for the foreseeable future.

#2. Python

Python is an interpreted, high-level, general-purpose programming language, and one of the most popular languages for rapid development. Python usage is widespread, with companies including Intel, IBM, Netflix, and Meta using the language.

Demand for Python is catching up to demand for Java. While Java is growing slower than the market, Python grew relative to the market. While Python’s growth may mean that it narrows Java’s lead, the wide gap between them means we’re unlikely to see any place-trading.

#3. SQL

SQL is an industry-standard structured query language for creating, defining, implementing, accessing, and maintaining relational databases. In 2022, demand for SQL grew at a steady rate and managed to surpass C++. It’s also growing faster relative to the market. 

But while SQL improved its demand ranking, it decreased in its popularity ranking. SQL’s third-place demand ranking is noticeably higher than its sixth-place popularity ranking. The source of this gap in supply and demand is unclear. Interest in the SQL vs NoSQL debate has risen steadily over the last decade. Developers turning toward non-relational database systems could be a contributing factor.

#4. C++

C++ is a general purpose, compiled, and statically typed programming language. Known as “C with Classes,” C++ is an extension of C with the functionality of user-defined data classes. The high performance of C++ has made it the top language for use cases requiring fast rendering, including browsers, banking applications, and motion design software.

In 2022, C++ fell from third to fourth place, overtaken by SQL’s steady growth rate. Demand for C++ is also growing slightly slower relative to the market. However, demand for the language isn’t going anywhere. C++ skills are vital for maintaining existing applications and infrastructure.

#5. JavaScript

JavaScript is a dynamic scripting language for adding interactive behavior to web pages and applications. Primarily used for building interactive web experiences, JavaScript stands out as the first front-end language on our list.

At fifth place, JavaScript has nearly four times the volume of the sixth-ranked Bash. This calls attention to an important characteristic of this demand-based ranking. After the top five, there is a huge gap in volume, placing the leading programming languages in a category of their own. While JavaScript is growing slightly slower than the market, its top-five ranking is secure.

#6. Bash

Bash is a command-line language for Unix operating systems. The language allows developers (or anyone who works with data) to work with computer files directly instead of using a graphical user interface (GUI). This makes it a useful skill to learn for cloud engineers and data scientists.

Bash stands out on our list as the only in-demand language that did not rank in popularity with developers. It will be interesting to see how this misalignment between supply and demand will affect the job market. Will an abundance of opportunity and demand inspire developers to learn the language? Or will a small talent pool of developers skilled in the language force employers to pay a premium for their skills? In 2020 Bash was already correlated with higher compensation than popular languages like C, C++, C#, Python, and Java.

#7. C#

C# is a general purpose, object-oriented, component-oriented programming language developed in 2000 by Microsoft as part of its .NET initiative. C# is based on the C family of languages, and has similarities to C, C++, Java, and JavaScript. 

Demand for C# sits in the middle of the language family. C++ far exceeds C# in demand, but C# holds a notable lead over C.

#8. Go

Go is an object-oriented programming language that Google created in 2009 for networking and infrastructure. But since launch it’s evolved into a general-purpose language used in a wide range of applications.

Go has been gaining popularity with developers for several years. In 2022 it was the second fastest-growing language, with its popularity increasing at a rate of 190%. And that popularity is translating into hiring demand. Demand for Go grew by 301% in 2022. 

One potential side effect of Go’s success is that it might affect the growth of larger languages. Developers looking to learn a new general-purpose language might start choosing Go over languages with weak demand. (We’re looking at you, Ruby.)

It will be interesting to see if Go has the momentum to challenge the rankings of other languages on our list. While demand for Go is growing at 140% relative to the market, C# is only growing at 10% relative to the market. Though momentum is on Go’s side, the gap between the two languages might be too large to overcome in just a few years.

#9. TypeScript

TypeScript is an open-source, object-oriented language that is an extension of JavaScript. Developed by Microsoft in 2012, TypeScript describes itself as “all of JavaScript, and then a bit more.” 

TypeScript has been gaining popularity for years, and ranked 4th in GitHub’s 2022 language rankings. Like Go, we’re seeing that popularity translate into hiring demand. At 392%, TypeScript had the highest growth in demand of any programming language.

It will be interesting to see how TypeScript’s growth will affect JavaScript. The two are tightly linked. TypeScript’s growth could come at the expense of JavaScript, or it could serve to amplify it.

#10. R

R is an open-source programming language for statistical computing and data analysis. Researchers and scientists use R for data visualization and statistical analysis in a number of industries, including academia, research, fintech, retail, government, healthcare, and social media.

While it ranks low on our list, demand for R is growing. At about 60% relative to the market, it posted the fifth-highest growth in demand.

What’s interesting is that growing employer demand for R is misaligned with its falling popularity with developers.

From 2021 to 2022, R dropped from the thirteenth to the fifteenth most popular language – dead last on our list. And while R grew by 59% in 2022, most other languages we ranked grew two to four times faster. 

How will this conflict between supply and demand play out in the job market? Like Bash, we’ll be watching closely to see if growing demand inspires developer interest or raises the compensation for R skills.

#11. PHP

PHP is a widely-used open source and general-purpose scripting language that is especially suited for web development. PHP’s popularity is owed to the fact that it was one of the first server-side languages that developers could embed into HTML

While demand for PHP is low compared to other general-purpose languages, its growth rate is actually quite high. Demand for PHP grew at about 180% relative to the market, making it the second fastest-growing language, surpassed only by TypeScript. 

PHP might have enough momentum to challenge R and break into the top ten. PHP’s volume is only slightly lower than R’s, but it’s growing about three times faster relative to the market. This rise in demand may help correct PHP’s lagging compensation, which Stack Overflow ranked second to last in 2020 and 2021.

#12. C

C is a general-purpose, statically-typed, and compiled programming language. A foundational programming language, C has become known as the mother of all languages

While it ranks low on our list – third to last – demand for C is still growing. At about 70% relative to the market, C posted the fourth-highest growth rate out of any language. While it doesn’t have the volume or growth to surpass PHP in the near future, its place is secure against the two struggling languages that appear next on our list.

#13. Swift

Swift is an open source, general-purpose programming language with a focus on performance, safety, and design patterns. Created by Apple to replace Objective-C, Swift is the go-to language for Mac, iPhone, and iPad iOS development. 

In 2022, Swift had the second-largest decrease in demand. Its volume in 2022 was only 80% of what it was in 2021. Swift’s popularity is also limited, demonstrated by its drop from nine to ten in our list on language popularity. Taking both of these figures into account, we can see that Swift is in a state of decline. This can be attributed to the fact that Swift never quite caught on as a general-purpose language, and has had to settle for specialization in iOS development.

#14. Ruby

Ruby is an interpreted, dynamic, open-source programming language with a focus on simplicity and productivity. Ruby has a diverse range of use cases, including data-driven web apps, marketplaces, and desktop apps. 

In 2020 Ruby ranked fifth in Stack Overflow’s list of highest paying programming languages. But despite high compensation, demand for Ruby is declining. Its demand in 2022 was only 66% of what it posted in 2021. It’s also growing the slowest relative to the market out of any language on our list. Developers have gradually shifted away from Ruby over the past several years, and it’s not surprising to find its demand fading as well.

Ruby is already dead last in demand. If it continues at this rate, another language will inevitably take its place. 

Key Takeaways

  • Python and Java rank first and second in both employer demand and popularity with developers. It’s interesting to note that supply and demand for these key languages are aligned.
  • The gaps in volume between languages are significant, effectively dividing the list into four tiers:
    • The first tier consists of the top five languages (Java, Python, SQL, C++, and Java Script), which have enough volume to stand in a league of their own. 
    • The second tier (Bash and C#) sees a significant drop in volume, with Bash having only 25% of the volume of JavaScript. 
    • The third tier (Go, TypeScript, R, and PHP) have similar demand levels and are growing the fastest. 
    • Rounding out the list is the fourth tier (C, Swift, and Ruby), whose languages barely post enough volume to rank on the list.

Methodology

Our ranking of the most popular programming languages draws from our 2023 Developer Skills Report. In that report, we used exclusive data from the HackerRank platform to understand employer demand, developer preference, and candidate engagement.

We tracked the demand for languages by analyzing the number of tests requiring developers to use a specific language. For some languages we also reference their popularity with developers, which is based on the languages candidates chose to use on assessments with multiple options available. The rates of change for data are based on the difference between volume in 2021 and 2022. In total, our analysis is based on tests taken by 700,000 developers.

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2023 Developer Skills Report: Despite Headwinds, Demand for Tech Skills Remains Strong https://www.hackerrank.com/blog/developer-skills-report-2023/ https://www.hackerrank.com/blog/developer-skills-report-2023/#respond Fri, 11 Nov 2022 21:03:51 +0000 https://bloghr.wpengine.com/blog/?p=18483 It’s hard to turn anywhere in 2022 without hearing talk of recession. Depending on the...

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It’s hard to turn anywhere in 2022 without hearing talk of recession. Depending on the day of the week or the latest indicator, we’re either already in one, or heading into one. From layoffs to inflation to cooling real estate markets, all signs seem to point to a worsening economy. 

But what does that mean for developers and skilled tech workers?

We explore that question in our 2023 Developer Skills Report. And rather than relying on survey data, this year we’ve tapped into exclusive HackerRank platform data. This lets us observe what’s really happening in tech hiring, from which skills and languages employers are looking for to market temperature and candidate engagement. 

Slower growth is still growth

Overall, we see signs of a cooling market unfolding throughout 2022, but we also continue to see growth in tech hiring and in employer demand for a variety of skills and programming languages. Nearly every metric we analyzed is up in 2022 compared to 2021. But the growth curve has shallowed somewhat from the aggressive up-and-to-the-right trajectories we saw in 2021. 

While the broader economy may well be heading toward a recession (or already in one), developers will likely be insulated from the worst of it. 

What do employers want? Java, Python, SQL, and Data Science skills

Employer demand for top skills and languages increased by 140% and 138%, respectively. Java remains the most in-demand programming language, followed by Python and SQL, which this year surpassed C++. In terms of growth, Go and TypeScript made significant gains this year, both growing more than 300% year over year.

On the skills side, employers are hungry for anything data science-related. This includes second-ranked Machine Learning, as well as new additions to our skills for 2022, Data Wrangling, Data Visualization, and Data Modeling. REST API skills were also highly sought after, with demand jumping 250%.

Forecast for 2023 points toward resumed growth

In forecasting language and skill demand into 2023, our data team took a decidedly conservative stance, leaning toward the low end of the 95% confidence interval. And even with those lowered expectations, we’re still forecasting an uptick across most of the languages and skills we’re tracking. 

EMEA and Latin America seem best positioned heading into 2023

2020 taught us that globalization only goes so far, and that different regions fared better or worse through the COVID shutdowns. By indexing regional performance – in the form of assessment invites – against the global trendline, we can see that EMEA (Europe, Middle East, and Africa) and LATAM (Latin America) endured more severe and longer-lasting downturns than North America or the APAC (Asia Pacific) region. Both underindexed into 2021, and EMEA continued to underindex until October 2021. 

But now, as North America and APAC slip into underindexing, EMEA and Latin America seem poised to continue to modestly overindex. 

For more on these and other findings, go and check out our 2023 Developer Skills Report.

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Introducing the First Report on the State of Tech Hiring Around the World https://www.hackerrank.com/blog/state-of-tech-hiring-report-2021/ https://www.hackerrank.com/blog/state-of-tech-hiring-report-2021/#respond Mon, 07 Jun 2021 21:14:32 +0000 https://blog.hackerrank.com/?p=17116 The pandemic forced many companies to quickly pivot their business strategies. From QR codes at...

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HackerRank's 2021 Innovator Report details the state of tech hiring around the world

The pandemic forced many companies to quickly pivot their business strategies. From QR codes at restaurants, touchless checkout at grocery stores, to beefed-up eCommerce experiences, all of these anticipated innovations happened all at once—at a single inflection point. 

The fact is, every company is now prioritizing one thing: Innovation. 

This makes it an incredibly hot market for hiring top developers. Every company—regardless of industry—is now a competitor in the war for tech talent… and a sophisticated hiring process will be your secret sauce in hiring the best talent out there.

In an effort to better understand the tech hiring landscape, we asked over 1,000 companies across over 50 countries about their tech hiring maturity and shared the results in our first-ever 2021 HackerRank Innovator Report.

In this report, you will learn:

  • Does company size give you a leg up in your hiring maturity?
  • What it takes to be a Hiring Innovator
  • The prevalence of unconscious bias in hiring tech
  • How engineering and HR teams differ in the views of their hiring maturity

Download the full report for even more tech hiring insights! 

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The Ultimate Hiring Guide to Developer Skills & Roles https://www.hackerrank.com/blog/developer-skills-list/ https://www.hackerrank.com/blog/developer-skills-list/#respond Tue, 08 Dec 2020 17:50:52 +0000 https://blog.hackerrank.com/?p=16603 Digital transformation is no longer “in the near future.” It’s happening right now.  Here are...

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Four people sitting, working on laptops

Digital transformation is no longer “in the near future.” It’s happening right now. 

Here are some interesting statistics about digital transformation:

And as a result of the acceleration of digital transformation, every company is now a technology company. In order to have the right technology, you need the right talent. 

In an effort to help companies continue to innovate and adapt to this digital landscape, we’ve put together a list of the most sought-after developer skills, broke them down based on level (basic, intermediate, advanced), and shared the most in-demand developer role definitions and qualifications.

Continue reading for a list of developer skills or jump to roles & qualifications.

Comprehensive List of Developer Skills

Window icon with checkmark, text reads comprehensive list of developer skills

1. .NET

.NET Core is an open-source cross-platform framework. .NET Core apps can be created using multiple programming languages. 

  • Basic: .NET Basic Skill level requires an understanding of .NET Classes, facilities for Input and Output, transforming data, and implementing simple REST API Services.
  • Intermediate: .NET Intermediate Skill Level includes configuring data access, exploring .NET Core and Framework, the common language infrastructure, assemblies, and developing localized applications.
  • Advanced: .NET Advanced Skill Level includes understanding asynchronous and parallel programming, exploring .NET security guidelines, and memory management.

2. Angular

Angular is a framework that works with Typescript or JavaScript to render dynamic page content. 

  • Basic: Basic Skill level includes understanding the use of components, TypeScript in Angular, MVC Framework, two-way binding, and form validation.
  • Intermediate: Intermediate Skill level includes the use of Routing, NgModules, Observables for data transmission and event handling, Dependency Injections, and APIs to transport data over HTTP/S. 
  • Advanced: Advanced Skill level includes understanding design patterns, requirement specifications, unit testing, and browser console debugging.

3. Ansible

Ansible Playbooks are utilized in configuring applications, servers, large networks, and systems. Automating tasks such as rolling updates becomes easy with Ansible Playbooks and modules.

  • Basic: Basic Skill level includes configuring a playbook, controlling tasks, play behavior, and performing simple bash automation tasks. 
  • Intermediate: Intermediate Skill level includes configuration of applications and systems, using applications REST APIs and being able to test the Ansible code.
  • Advanced: Advanced Skill level includes advanced automation involving security and cloud. 

4. Apache Kafka

Apache Kafka makes it possible for large-scale data movement with high reliability. This key competency includes Understanding Apache Kafka Architecture, Kafka Clusters, Kafka Messaging Systems, Understanding Apache Kafka Partitions and Brokers, and Kafka Producers and Consumers, among others.

5. Apache Spark

Apache Spark is an open-source software framework built on top of the Hadoop distributed processing framework. 

  • Basic: This competency area includes installation of Spark standalone, executing commands on the Spark interactive shell, Reading and writing data using Data Frames, data transformation, and running Spark on the Cloud, among others. 
  • Intermediate: This competency area includes combining and analyzing data, performing data aggregations, configuring data sources and sinks, performing tuning, monitoring Spark jobs, performing transformations, and running SQL queries on streaming data, among others.
  • Advanced: This competency area includes installation of Spark standalone, executing commands on the Spark interactive shell, Reading and writing data using Data Frames, data transformation, and running Spark on the Cloud, among others. 

6. AWS

Amazon Web Services (AWS) is a platform that offers multiple cloud computing services from data centers around the world.

  • Basic: Basic Skill Level includes launching secure Amazon EC2 instances with auto-scaling policy, configuring an Amazon S3 bucket for static website hosting, deploying a serverless application, securing an Amazon S3 bucket,​ among others.
  • Intermediate: AWS Intermediate Skill Level includes creating cloud notification using SNS, deploying an application using Elastic Beanstalk​, understanding CloudFront distribution for content stored in Amazon S3, creating a CloudWatch monitoring alert, exploring DynamoDB​, among others.
  • Advanced: AWS Advanced Skill Level includes analyzing data in S3 using Athena, utilizing the AWS CLI to manage resources, data migration, automating code deployments, among others. 

7. Bash

Bash or Bourne-Again SHell is a command interpreter and a scripting language widely used as a default across Linux-based operating systems. 

  • Basic: The core competencies include theoretical fundamentals of Bash, common commands, variables and operators, conditional and loop statements, I/O operations, and ability to basic Bash scripts.
  • Intermediate: The core competencies include advanced commands, using regular expressions, understanding, and usage of piping, file handling, trap and signals in bash, functions, and usage of command-line arguments.
  • Advanced: The core competencies include error handling, asynchronous commands, ability to build a command-line tool, and usage of /dev/null.

8. C#

C# is a general-purpose, object-oriented programming language designed for Common Language Infrastructure (CLI), and widely recognized for its structured, strong-typing, and lexical scoping abilities. 

  • Basic: Basic Skill level includes understanding the structure of C# programs, types, and Variables, basic OOP, Properties and Indexers, Collections, Exception handling, among others. 
  • Intermediate: Intermediate Skill level includes understanding the generic system,  using anonymous methods, closures, and lambda syntax, Language Integrated Query (LINQ), resource management, and use of dynamic types, among others.
  • Advanced: Advanced Skill level includes understanding Asynchronous programming, Reflection, Unsafe code, and Expression trees. 

9. Code Quality

When multiple developers work on the same codebase, it is important to follow best practices to make sure unintentional patterns and syntax errors do not get committed. The competency area includes understanding the benefits of writing code that is modular, reusable, maintainable, and secure.

10. CSS

Cascading Style Sheets (CSS) are primarily used to enable text styling, tables, and to format the layout of Web pages. The competency areas include exploring Cascading and Inheritance, exploring text styling fundamentals, understanding the use of layouts in CSS, understanding the boxing of elements in CSS, among others.

11. Data Modeling

Data Modeling includes various techniques for modeling the data for storage in databases. Basic Skill level includes estimating probabilities using Bayesian modeling, understanding Linear regression​, Logistic regression​, and predicting labels to name a few.

12. Data Visualization

Data visualization is a key aspect of data analysis that allows for exploring and understanding data. Basic Skill level includes creating Data Visualizations, displaying the underlying frequency of data, displaying data trends, and using heat maps, among others.

13. Data Wrangling

Data Wrangling includes gathering, selecting, and transforming data to make them appropriate for analytics and machine learning. It also includes data cleaning, imputation, summarization, aggregation, normalization. Basic Skill level includes Outlier/Anomaly Detection, cleaning data, transforming categorical data to numerical data, grouping data based on values, and joining data, among others.

14. Django

Django is an open-source web application framework based on Python, with a variety of features built-in that can be used to develop applications with ease and speed.

  • Basic: Basic Skill level includes understanding key concepts, such as Models, Views, Templates, and URL configuration, among others. 
  • Intermediate: Intermediate Skill level includes the ability to implement email for communication and perform logging which can be used for debugging the application as required.
  • Advanced: Advanced Skill level area includes performing complex database related operations using Django models in conjunction with Class-based views and the use of appropriate URL mapping as required. Understanding Templates, Authentication, and the ability to implement Rest APIs, customize Django Admin, among others. 

15. Docker

Docker is a platform that is designed to make it simple to create, update, deploy, and run containerized applications. 

  • Basic: Basic Skill Level includes building Docker Images and Docker Files, creating, deploying, and running simple applications, working with .NET Containers, among others.
  • Intermediate: Intermediate Skill level includes building images, understanding of basic DevOps commands for docker, Tags, and Labels, and running multiple services in a container, among others. 
  • Advanced: Advanced Skill level includes running commands inside a container, learning how to extract metrics, adapting stronger security practices, and working with volumes, among others. 

16. GCP

Google Cloud Platform (GCP), offered by Google, is a suite of modular cloud computing services including computing, data storage, data analytics, and machine learning, along with a set of management tools. 

  • Basic: This competency area includes deploying Google App Engine instances, deploying and managing Google Cloud Functions, creating and managing Google Storage buckets, among others.
  • Intermediate: This competency area includes deploying applications Compute Engine, advanced App Engine deployments, Google Kubernetes Engine, using more advanced database solutions, using shell-like solutions to manage Cloud services, among others.
  • Advanced: This competency area includes in-depth Cloud Identity and Access Management, advanced data solutions, more advanced deployment options, services like Pub/Sub, Cloud CDN, Cloud Load Balancing, among others.

17. Golang

Golang is a popular language invented by Google in 2007. It is statically typed, and a compiled programming language. It is a common language that is used with cloud computing technologies, container orchestration toolings such as Docker and Kubernetes, ease to build CLI tools, web services, and is popular tools for building DevOps and site reliability engineering tools.

  • Basic: The core competencies include covering basic language features of Golang, simple data structures, arrays, maps, data types, and interfaces. 
  • Intermediate: The core competencies include working with functions, understanding named returned parameters, pointers, file handling, and error handling. 
  • Advanced: The core competencies include learning about goroutines, mutexes, and channels, interfacing with storage,  working with mock objects, and HTTP endpoint testing, among others. 

18. Hadoop

The Hadoop open-source software framework is widely used for reliable, and scalable distributed computing on a cluster of machines. 

  • Basic: This competency area includes understanding Single node cluster in a standalone mode, in pseudo-distributed mode, running shell commands to interface with HDFS, performing parallel processing tasks, among others.
  • Intermediate: This competency area includes implementing advanced parallelism, implementing Counters, performing basic queries, and subqueries in Hive, among others. 
  • Advanced: This competency area includes performing ETL operations using Apache Pig, Apache Cassandra NoSQL database, optimizing task execution on Hadoop using Tez, among others.

19. HTML/CSS/JS

HTML, CSS, and JavaScript are core to creating web applications. In building web applications, HTML provides the basic structure of websites, which is enhanced and modified by other technologies like CSS and JavaScript. CSS is used to control presentation, formatting, styling, and layout. JavaScript is used to control the behavior of different elements in the application.

20. Java

A high-level programming language used to create complete applications that may run on a single computer or be distributed among servers and clients in a network.

  • Basic: Basic Skill level includes using common language features in Java, class hierarchies, design patterns, among others. 
  • Intermediate: Intermediate Skill Level includes Multithreading in Java, Working with Networking in Java, and Collections and Serialization.

21. JavaScript

Javascript is used primarily for programming the web browser and also used on the server-side with Node. Main uses include adding interactive behavior to web pages, creating web and mobile apps, building web servers and developing server applications, game development, etc.

  • Basic: Key competency includes Functions, Events, and Error Handling, Currying, Hoisting, Scope, Inheritance, among others. 
  • Intermediate: This key competency includes Design Patterns, Memory management, concurrency model, and event loops, among others.

Person pointing to speech bubble, sharing fun fact about javascript from 2020 developer skills report

22. Jenkins

Jenkins is a free and open-source build and test automation server-based system written in Java. This key competency area includes configuring project builds, scheduling builds, setting up email notifications, and creating scripts for proper backup and restore of the Jenkins server.

23. Kubernetes

Kubernetes (K8s) is an open-source system for containerized applications. It allows you to automate the deployment, scaling, and management of containers at scale. 

  • Basic: This competency area includes Kubernetes Installation and Configuration, deployments, and clusters, working with Kubernetes services to access deployments, creating configs, and secret data, among others.
  • Intermediate: This competency area includes working with Stateful Applications, accessing the Kubernetes Dashboard, working with Labels, among others. 
  • Advanced: This competency area includes working and accessing Kubernetes and Application logs in a cluster, debugging, network policy, performance tuning, among others. 

24. Language Proficiency

Understanding all of the rules, features, and mechanisms of a programming language, and optimizing for simplicity, accuracy, and modularity within the rules of the programming language is key to implementing solutions. This competency area includes identifying what makes a developer proficient in a given programming language.

25. Linux

Linux refers to the family of operating systems based on the open-source Linux Kernel [first released in 1991] with a largely Unix-like interface. This family of operating systems is distributed and specialized for varied purposes, such as desktops, smartphones, mainframes, edge computing devices, etc. Linux was solely built as an open-source project and today is the most widely used family of operating systems in the world.

  • Basic: The competencies include theoretical fundamentals, basics in bash, usage of package manager, text editors to edit files, and an understanding of the Linux boot process.
  • Intermediate: The core competencies include usage and understanding of secure shell (ssh), process and memory monitoring and management, filesystems, and an understanding of the init process and job scheduling.
  • Advanced: The core competencies include an understanding of desktop and window managers, theoretical fundamentals, and utilizing the networking layer in Linux, inter-process communication, and user management for the administration of a Linux system.

26. Machine Learning

Machine Learning, a subdomain of artificial intelligence, allows computers to produce output without being explicitly programmed. 

  • Basic: This competency area includes using feature selection, and model selection, selecting, using, and optimizing machine learning models, procuring data, performing basic operations on data, among others. 
  • Intermediate: This competency area includes using the One-Hot encoding technique, creating new features using feature engineering, record sampling, running inference on a pre-trained machine learning model, among others. 
  • Advanced: This competency area includes training a brand new machine learning model from scratch, evaluating the performance of a machine learning model, tuning a machine learning model to achieve better performance, among others. 

27. MongoDB

MongoDB is a document-based No-SQL database. MongoDB stores all schema and records using a JSON-like syntax and makes use of collections and documents. 

  • Basic: This competency area includes creating a new database with a new collection, users, collections, inserting, and returning documents, among others. 
  • Intermediate: This competency area includes querying for documents, performing various operations on documents such as updation, insertion, removing fields, deletion, among others. 
  • Advanced: This competency area includes inserting and sorting records, limiting query results, counting and aggregating documents, among others. 

28. Node.js

A platform built on Chrome's JavaScript runtime commonly used to build fast and scalable network applications. Node. js employs an event-driven, non-blocking I/O model making it efficient, perfect for data-intensive real-time applications operating across distributed devices. 

  • Basic: Key competency includes Package and Modules Management, and understanding the use of Callbacks, Event Loop, Event Emitter, Buffers, Streams, File Systems, among others. 
  • Intermediate: Competency includes understanding Event-Driven Architecture and Concurrency, and Scaling and Packaging.
  • Advanced: This key competency includes combining REST API Services and business drivers to achieve the best results. 

29. Problem Solving

At its core, problem-solving focuses on the study, understanding, and usage of data structures and algorithms.

  • Basic: The competency area includes basic Data Structures and Algorithms.
  • Intermediate: Competency area includes usage of HashMaps, stacks, queues, heaps, and analyzing run-time complexities and space complexities, among others. 
  • Advanced: This competency area includes working with Data Structures such as Trees, Graph Traversal, using Dynamic Programming and Specialized Algorithms, among others. 

30. Puppet

Puppet is an open-source (and enterprise) tool that is used for configuration management, deployment automation, and provisioning (AWS). It uses a pull configuration paradigm and makes it easy to manage large infrastructures through simple abstraction. 

  • Basic: This competency area includes an understanding of configuration management, Puppet architecture, basics of Puppet DSL, among others. 
  • Intermediate: This competency area includes an understanding of basic manifests in Puppet, setting an attribute value for a resource, installing a package, creating a file, writing simple templates, exploring Puppet Forge, setting up Puppet for a cluster, among others. 

31. Python

Python is an interpreted, high-level, general-purpose programming language, and one of the most popular languages for rapid development across multiple platforms. Python enables developers to focus on the core functionality of the application by abstracting common programming tasks.

  • Basic: This competency area includes understanding scalar types, operators and control flow, types in Python, modular program design, among others. 
  • Intermediate: This competency area includes understanding Closures and Decorators, using magic methods in Python, Collections, Exceptions, Errors, and using Context Managers. 

32. R

R is a software environment for statistical computing and graphics. R is commonly used for Data Analysis, Statistical Computing, Machine Learning algorithms, and scientific research. This competency area includes fundamentals of the R programming language, understanding Data Frames, Packages, and Data Reshaping, using Data interfaces, among others.

33. React

React is a framework that works with Javascript to render dynamic page content. It maintains a state variable for each dynamic element that is controlled using components made using classes or functions and hooks.

  • Basic: This competency area includes understanding basic routing, rendering elements, state management, handling events, among others. 
  • Intermediate: This competency area includes managing controlled components, routing with Params, fetching, and processing data using web requests, among others. 
  • Advanced: This competency area includes integrating framework knowledge with business logic, creating and running comprehensive unit tests on the React application, Debugging, Hooks, among others. 

34. REST API

A RESTful API makes it possible for remote execution of an application's capabilities by supporting standard HTTP methods, error handling, and other RESTful mechanisms.

  • Basic: This competency area includes usage of the GET Request, and exploring basic functionalities. 
  • Intermediate: This competency area includes usage of the GET Request, and exploring basic functionalities. 
  • Advanced: This competency area includes building a complete REST API Service.

35. RoR

Ruby on Rails (RoR) is a framework, primarily helping developers build websites and applications, abstracting and simplifying repetitive tasks.

  • Basic: This competency area includes understanding the RoR Model/View/Controller (MVC) framework, understanding the Rails Directory Structure, working with rake tasks, migrations, records, and rail routes.  
  • Intermediate: This competency area includes understanding the RVM (Ruby Version Manager), setting up databases and working with migrations, exploring advanced active record operations, and caching, among others.  
  • Advanced: This competency area includes working with Refactoring large Rails codebases, working with vast test suites, the know-how of building a Gem, microservices, security, and performance, and other key concepts such as debugging, testing, and deployment.  

36. Ruby

Ruby is an interpreted, dynamic, open-source programming language with a focus on simplicity and productivity.

  • Basic: This competency area includes exploring the basics of Ruby programming, including constructors, operators, loops, methods, and objects. Also includes learning to write simple modules, working with Arrays, and input-output, among others. 
  • Intermediate: This competency area includes understanding Ruby objects and their functionalities, working with Ruby Built-ins, Hash, Range, and Set, exploring Collections and Enumerables, building simple regular expressions, reading, and writing to JSON and XML file types, directory operations, among others. 
  • Advanced: This competency area includes advanced operations with Ruby Objects and Methods, working with some complex regular expression operations, modifying Ruby classes and modules, working with Proc, Block, and Lambda, among others. 

37. Selenium

Selenium is an open-source Web UI automation testing framework. Selenium supports automation across different browsers, platforms, and programming languages.

  • Basic: This key competency area includes exploring the basic level of HTML, JavaScript, CSS, and Java Programming. A good understanding of HTML DOM and experience with different types of locators like XPath, ID, CSS, etc. is also required.
  • Intermediate: This key competency area includes exploring complex levels of HTML, JavaScript, CSS, and Java Programming. Web Scraping, XPath, and automating data are also key to understand.
  • Advanced: This key competency area includes exploring the advanced levels of Selenium compatibility with HTML, JavaScript, CSS, and Java Programming.

38. Spring Boot

Spring Boot is an extension of the Spring Framework that helps developers build simple and web-based applications quickly, with less code.

  • Basic: Competency area includes configuring a Spring MVC application, Basics of the Spring framework, working with REST APIs, writing a unit test for a simple application, among others.
  • Intermediate: Competency area includes using Spring Boot’s auto-configuration, packaging, and deploying a simple application, implementing exception handling, among others. 

39. SQL

Structured Query Language (SQL) is an industry-standard query language that works with relational databases. Unlike some earlier systems, queries are performed at the server and only the results are passed to a client. This resulted in the ability to work with large databases efficiently over a network.

  • Basic: This competency area includes understanding simple queries, relationships, and aggregators. 
  • Intermediate: This competency area includes working with complex joins, unions, and subqueries. 
  • Advanced: This competency area includes the ability to demonstrate an understanding of query optimization, data modeling, Indexing, window functions, and pivots in SQL.

40. System Design

System design is best used to provide sufficient detailed data and information about a system and enable the implementation consistent with architectural entities as defined in models and views of the system architecture. This key competency explores Scalable Systems and Visualizing and Designing complex systems.

41. Technical Communication

Technical communication is used to make information about technical products, services, and processes clear and understandable. It is the ability to convey thoughts, designs, ideas, and specifications in a clear and concise manner.

42. Terraform

Terraform allows you to build, change, and version your infrastructure using infrastructure as code techniques. 

  • Basic: This key competency includes Deploying Terraform Configurations, Launching and changing an AWS instance using Terraform, Working with the Terraform Registry, resources, and outputs, among others. 
  • Intermediate: This key competency includes working with the Docker Provider, importing existing Infrastructure, working with Terraform Secrets, Conditionals, Counters, Functions, and working with Variables.
  • Advanced: This key competency includes understanding backends, using the MySQL, local, and time provider to manage database instances, debugging, modularizing, and understanding the Terraform Graph API.

 

For more information on each skill, please visit our HackerRank Skills Directory.

 

High-Demand Developer Role Definitions & Qualifications

Medal with cube icon, text reads high demand developer role definitions and qualifications

1. Software Engineer

What is a software engineer?

A software engineer is hired to build customized systems and solutions for a specific customer. They have extensive knowledge of programming languages, software development, and computer operating systems. They apply engineering principles to the design, development, maintenance, testing, and assessment of computer software. 

What are some fundamental software engineer skills?

  • Code Quality
  • Language Proficiency
  • Problem Solving
  • REST API 
  • SQL
  • Technical Communication

What are some common software engineer interview questions?

  • How do you build a search for Gmail?
  • Describe some bad code you’ve read or inherited lately.
  • When do you know your code is ready for production?

Three column card listing definition of software engineer role, skills and common interview questions

2. Front-End Developer

What is a front-end developer? 

A front-end developer architects and develops graphical interfaces where users can view and interact with data. Some common web technologies used by front-end developers include HTML, CSS, DOM, and JavaScript which run on the Open Web Platform or act as compilation input for non-web platform environments.

What are some fundamental front-end developer skills? 

  • Code Quality
  • CSS
  • HTML/CSS/JS
  • JavaScript
  • Problem Solving
  • Technical Communication

What are some common front-end developer interview questions?

  • What frameworks have you used and what are the pros and cons of each? 
  • What are some ways a server can communicate with a client?

Three column card listing definition of front end developer role, skills and common interview questions

3. Back-End Developer

What is a back-end developer? 

A back-end web developer is responsible for server-side web application logic and data storage. While front-end developers focus on the UI, back-end developers write the web services and APIs used by front-end and mobile application developers.

What are some fundamental back-end developer skills? 

  • Code Quality
  • Problem Solving
  • REST API
  • SQL
  • System Design
  • Technical Communication

What are some common back-end developer interview questions?

  • What is your favorite programming language and why?
  • What is the difference between acceptance testing and functional testing?
  • What are the differences between SQL databases and MongoDB at a high level?
  • What are some performance testing best practices? 

Three column card listing definition of back end developer role, skills and common interview questions

4. Full-Stack Engineer 

What is a full-stack engineer? 

A full-stack engineer works with both the front and back ends of a website or application. They can tackle projects that involve databases, building user-facing websites, and work with clients during the planning stages of this process. 

What are some fundamental full-stack engineer skills? 

  • Code Quality
  • CSS
  • JavaScript
  • Node.js
  • Problem Solving
  • React
  • REST API 
  • Technical Communication

What are some common full-stack engineer interview questions?

  • When presented with a new project, how did you select the tools and technologies involved?
  • What would you say was your best implementation experience?
  • Say you had to write an endpoint for checking if a resource exists. What path and method would you use?
  • What are 5+ ways you could optimize a website to be as efficient and scalable as possible?
  • How would you prevent a bot from scraping your publicly accessible API?

Three column card listing definition of full stack engineer role, skills and common interview questions

5. Data Scientist

What is a data scientist? 

Data scientists gather and analyze large sets of structured and unstructured data. Through computer science, statistics, and mathematics, they analyze, process, and package insightful data to inform key decisions within organizations.

What are some fundamental data scientist skills? 

  • Apache Spark
  • Code Quality
  • Data Modeling
  • Data Visualization
  • Data Wrangling
  • Machine Learning
  • Python
  • R
  • SQL 
  • System Design
  • Technical Communication

What are some common data scientist interview questions?

  • What are the differences between supervised and unsupervised learning?
  • What is machine learning?
  • What is selection bias? 
  • How should you maintain a deployed model?
  • How can you avoid overfitting your model?
  • How do you perform logistic regression?
  • Say you are given a data set consisting of variables with more than 30% missing values. How would you deal with them?

Three column card listing definition of data scientist role, skills and common interview questions

6. Cloud Engineer

What is a cloud engineer? 

A cloud engineer commercializes, standardizes, and governs cloud computing applications. They leverage methods and tools of engineering to conceive, develop, operate, and maintain cloud computing systems and solutions. Cloud engineers are responsible for cultivating cloud resources to solve business problems.

What are some fundamental cloud engineer skills? 

  • Ansible
  • AWS
  • Code Quality
  • Docker
  • Kubernetes
  • System Design
  • Technical Communication
  • Terraform

What are some common cloud engineer interview questions?

  • What are the benefits of Cloud Computing? 
  • What are the cloud service models? 
  • What are the differences between cloud and on-premise computing?

Three column card listing definition of cloud engineer role, skills and common interview questions

For Further Reading on Developer Skills

  1. Check out HackerRank’s Skills Directory to see all the industry-certified skills we offer on our remote hiring platform.
  2. Digital Transformation Is About Talent, Not Technology addresses the importance of reskilling and upskilling people so that they are better equipped to adjust to change.
  3. Download the HackerRank’s Developer Skills Report for insight into what employers and employees know, what they’re looking for in their work, and how they see their roles evolving as technology sweeps across industries of all sizes.
  4. Equip yourself with the tools to pull off a great interview with Springboard’s 31 Software Engineering Interview Questions With Answers.
  5. For more predictions around the future of digital transformation, check out CIO’s What is Digital Transformation? A Necessary Disruption.

Planning to hire developers? 

We’ve got a tool for that! Assess all these skills and more in a remote-first environment with HackerRank’s Developer Skills Platform.

With our Developer Skills Platform, you can: 

  • Look beyond resumes and identify skills that meet your needs
  • Quickly filter out unqualified candidates and reduce time to hire
  • Create a consistent hiring bar to benchmark candidates’ skills

Banner with the words 'explore the developer skills platform' and a 'learn more' button

 

 

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Top 5 Takeaways from the 2020 Developer Skills Report https://www.hackerrank.com/blog/2020-developer-skills-report-top-takeaways/ https://www.hackerrank.com/blog/2020-developer-skills-report-top-takeaways/#respond Sat, 29 Feb 2020 00:24:45 +0000 https://blog.hackerrank.com/?p=15547 For the 3rd year in a row, we surveyed our community of over 7 million...

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Image with code art in background that reads: "2020 Developer Skills Report - Top 5 Takeaways"

For the 3rd year in a row, we surveyed our community of over 7 million developers to understand the state of developer skills. This year, 116,648 developers from 162 countries weighed in.

If you’re interested in reading the full survey results, you can find the 2020 Developer Skills Report here. Otherwise, you can check out our top five takeaways below:

1. Full-stack & back-end developers are in highest demand

Of the hiring managers that answered the survey, 38% said that “full-stack developer” is the most important role they need to fill in 2020. Back-end developers, on the other hand, were top priority for 24% of hiring managers. Priorities shifted slightly with company size, but across the board, full-stack developers are the #1 priority. 

For hiring managers and talent acquisition (TA) experts, this sends a strong signal: competition for full-stack developer candidates is still high. So how can you navigate it? 

First, you need to determine what, exactly, defines a “full-stack developer” at your org. The term “full-stack developer” can be ambiguous at best. Its definition varies from company to company, and even from business unit to business unit. To bring in the candidates with the right mix of skills, you’ll have to define your org’s point of view. Otherwise, you risk engaging candidates that are a match in title, but not in skill. 

Another way to navigate the competition? Keep an open mind when it comes to your candidate search criteria. Again, the role “full-stack developer” is notoriously vague—so only sourcing developers with full-stack developer titles could prematurely limit your candidate pool. Depending on the needs of your role, you might find that candidates from a variety of backgrounds—and job titles—might have the skills you need. 

2. Chances to learn new tech skills are a major perk

In the 2019 Developer Skills Report, we found that professional growth and balance is the perk most developers prioritize in their job search. But depending on whom you ask, professional growth can take a number of forms—from managerial training, to technical skills training, soft skills training, and more. So this year, we sought out to determine which form of professional growth is most important. 


The answer: opportunities to learn new technical skills at work. 59% of developers say it’s the form of professional growth they value most. 

For engineering managers, it’s an opportunity to differentiate your team. Setting programs in place where individual contributors (ICs) can explore new tech skills at work—like Google’s famous “20 percent rule”—could be an edge when you’re selling a high-demand candidate. Orchestrated lunch-and-learns or mentorship programs are also great options to try.

3. Individual contributors want career paths that point to tech lead roles

As we learned in the last data point, developers value chances to learn new tech skills over new soft skills. So it makes sense that most individual contributors eventually want to become technical leads. 

In fact, 62% of individual contributors want to be in a tech lead position within the next 3 years. But 19% are perfectly content to remain as an individual contributor for the near future. Only 15% want to be an engineering manager.

This takeaway underscores the need for tech skills training. Learning new tech skills is already the form of professional growth developers value most—and it’s also a key ingredient they’ll need to move to a tech lead position.

For hiring managers, it’s worth self-examining how you’re enabling IC-level developers to grow their tech skills at work. What sort of career coaching are you offering? What programs and support can you provide that would help them grow into a technical lead position? If you can provide an internal career ladder that supports the individual contributor to tech lead path, you’re likely to appeal to a broader pool of candidates at the IC level. 

4. Bootcamps are gaining steam with younger generations

The 2020 Developer Skills Report showed that Gen Z is more likely than any other generation to learn new coding skills from bootcamps. In fact, they were 1.6x more likely to learn from bootcamps than Baby Boomers. 

Looking at the generation-over-generation data, a clear pattern emerges: the younger the generation, the more likely they are to rely on coding bootcamps to learn new coding skills. 

On the whole, coding bootcamps are relatively new to the world of tech. As noted in the 2020 Developer Skills Report, the first coding bootcamps only appeared around 2011. But they’re growing quickly: one report says attendance has grown 11x since only 2013. 

Consider it this way: studies estimate that roughly 20,000 students graduated from US and Canadian coding bootcamps in 2018. On the flip side, IPEDS data shows that US institutes granted roughly 42,000 Computer Science degrees in the same year. 

While it’s not an apples-to-apples comparison, it’s clear that a considerable chunk of early talent developers are learning to code at bootcamps. And given their uptick in popularity amongst Gen Z, it may be worth folding bootcamps into your sourcing strategy to ensure you’re not missing out on this new and growing talent pool.

5. Hiring managers are vouching for bootcamp grads

Coding bootcamps aren’t just becoming more popular: they’re also becoming a respected education source amongst hiring managers. In fact, 72% of hiring managers that have hired a bootcamp grad said they’re equally or better equipped for developer jobs than other hires. 

It's an overwhelmingly positive sentiment from hiring managers. But surprisingly, only about 1 in 3 hiring managers say they've hired a bootcamp grad. Combined, it signals that bootcamp grads have the skills most hiring managers need—but are still an underutilized talent pool. 

To capitalize on that gap, it may be worth formally introducing bootcamps into your sourcing plan. You could start by taking a look at bootcamps like Codeworks, AppAcademy, and HackReactor, which were the three most commonly attended bootcamps in the survey.


Want to view more insights? See the full report—including data and insights from over 116,000 developers—here:

Button that reads: "See Full Findings: 2020 Developer Skills Report - Read Here"

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Introducing HackerRank’s 2020 Developer Skills Report https://www.hackerrank.com/blog/2020-developer-skills-report/ https://www.hackerrank.com/blog/2020-developer-skills-report/#respond Tue, 04 Feb 2020 12:50:33 +0000 https://blog.hackerrank.com/?p=15523 HackerRank just released its 2020 Developer Skills Report. Read the full report here. At HackerRank,...

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Banner for the Developer Skills Report with a statistic about how many participants were there in the surveyHackerRank just released its 2020 Developer Skills Report. Read the full report here.


At HackerRank, we have over 7 million developers in our community. That’s over 25% of the world’s developers who are using HackerRank to level up their coding skills.

We’re fortunate to play a part in expanding and growing the developer community during this time of rapid change. Our mission at HackerRank is to help accelerate the world’s innovation as more and more companies shift to tech-focused approaches to running and building their businesses. Since 2010, 22 newcomers have entered the Fortune 100—a seismic shift—driven largely by technical innovation. Since that time, tech-first giants like Amazon, Google, and Facebook have joined the list, and they’re not slowing down.

As companies evolve to embed tech into the heart of their products, the need for skilled talent is growing exponentially. To meet that demand, companies will have to become experts in developer hiring—not by relying on developers’ pedigrees or resumes, but by objectively evaluating their skills and placing them strategically throughout the organizations they work for.

To understand the state of developer skills in 2020, we’re launching our third annual Developer Skills Report: the largest survey of its kind ever released. We asked for input on coding bootcamps, pay equity, and more—and over 116,000 developers from 162 countries responded. The data provides unparalleled insight into what employers and employees know, what they’re looking for in their work, and how they see their roles evolving as technology sweeps across industries of all sizes.

I hope you enjoy our findings. Please feel free to tweet us @hackerrank or email us at research@hackerrank.com with comments or questions.Banner reading "See the full 2020 Developer Skills Report"

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