Big Data Infrastructure Engineers Demand in Rise

Data Infrastructure Engineer

By 2022, there will be a high demand for these 10 IT & Engineering skills

Big Data engineers are in high demand. See why?

You may be able to get a new job or a promotion. That is only possible if you gain new skills from working with these technologies.

In many organizations, annual reviews coincide with the start of the new year. Thus, it’s a popular time of year to do a career check-up and set some goals. Therefore, many tech professionals are wondering what skills are most in-demand right now and which are trending upward.

In four reports, researchers examined data to answer that question. The skills appeared most frequently in job postings. And the skills showed the most growth over the past year and five years. Additionally, they identified some key trends and which skills are most important for some of the most in-demand job titles.

Regardless of your specialization, you probably need to know at least some of these technologies.

The demand for experience with big data tools, machine learning (ML), and artificial intelligence (AI) is also increasing. In addition, today’s enterprises are moving towards digital transformation, which means front-end Web development tools, including JavaScript frameworks like Backbone.js, Angular.js, React.js, and Vue.js, are very valuable.

Ten IT skills that were in demand in 2021

According to, in 2021, “software engineer” was the most popular job title in tech, accounting for 6.8% of all tech job postings. The report states the next two jobs on the list, senior software engineer and software architect, are closely related to the No. 1 position, accounting for 13.6% of technology jobs in 2014. Aside from systems engineers, developers, systems administrators, full-stack developers, technical support specialists, front-end developers, and product managers are also in demand.

When we analyze the specific skills needed for today’s tech jobs, we see an interesting trend. The number of job postings related to technology trends is increasing rapidly, but they still account for a relatively small portion of the overall job market. Python ML library, for instance, grew by 138% between 2020 and 2021, but only accounts for 0.4% of all job postings.

In contrast, some of the programming languages at the top of the list ten years ago still account for over 20% of the tech job listings.

The following are good places to start if you are looking for IT support engineering skills that will be valuable to most employers.

The demand for Data Engineers keeps growing

Big Data Infrastructure Engineer

Big Data Infrastructure Engineer

Data engineering professionals are at the top of the list when it comes to careers, right up there with machine learning and data scientists. Therefore, you may believe that just because someone has a degree in data science, that automatically translates into a career in data engineering. However, big data focuses on the technical side – specifically, the data pipelines. While both roles work with big data, their requirements for education and experience are different.


Even if you’re a loner at work, big data is a big job that requires a team, including roles such as data warehouse engineer, data platform engineer, data infrastructure engineer, analytics engineer, data architect, and DevOps engineer. You get the idea – there are a lot of people on the team. Although they work deep within the systems stack, the data team is often overlooked. Working behind the scenes must be something you take pride in.

Developing the right skill sets

The ability to program is a core requirement for developing relevant skill sets, according to experts. Having the right education is important, but nothing beats real-world experience when it comes to coding.

When you’re in such a technical position, you need to love data – otherwise, it might be a bit of a drag to spend a lot of time searching for patterns and creating difficult and complex systems. It’s time to start your data engineer job hunt if you love big data and you cannot lie, plus you know how to program.

In addition to SQL, Python, and R, and ETL methodologies and practices, it’s also important to choose the right programming language. When it comes to choosing the right tool, data engineers need to have about 10-30 different technologies at their fingertips.

Make sure you get a bachelor’s degree in engineering or computer science as your first step. A master’s degree in data analytics or certifications such as Google’s Cloud Certified Professional Data Engineer can be added to that.

After that, read books and work on big data projects. You need to practice the skills as well as gain knowledge. Become knowledgeable, then practice. This cycle needs to be repeated to remain current.


In the technology-driven job market of 2022, you will need hands-on experience. As businesses recover from the pandemic, recruiting skills have become more important.

You can increase your chances of landing the job of your dreams if you prepare yourself in these areas.