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What is a big data engineer?
A career as a big data engineer typically requires a combination of education and work experience. Many professionals in this field choose to pursue certification. Learn about the responsibilities of big data engineers, job opportunities in the field, and how to begin a career in this field.
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A job as a big data engineer might be a good fit for you if you like numbers, math, finding solutions to problems, data, graphs, charts, and IT. This piece will go over the most important parts of being a big data engineer in great detail, which will help you decide if this is the right job path for you.
What is a big data engineer?
It is the job of a big data expert to create, manage, test, analyze, and rate a company’s large data sets. Businesses frequently gather a lot of data as they conduct their operations in today’s market. Big data can help businesses a lot by making them more efficient, profitable, and scalable if it is used correctly. However, a company’s big data is only useful if it has a skilled big data expert who can set up systems to gather, store, and retrieve data. Because of this, big data engineers are very important for helping businesses handle their big data.
Big data engineer vs. data scientist
The main difference between data scientists and big data engineers is what they are responsible for. Big data engineers are mostly in charge of building and managing the systems and methods used to gather and process data. Data scientists, on the other hand, look at processed data to find insights. They use different prediction models to come to conclusions that make sense.
Typical job responsibilities
All of the following are typical job responsibilities for big data engineers:
- Making software tools and putting them into action
- Putting together ways to gather and process information
- The ETL method, which stands for Extract, Transform, and Load,
- Putting together data systems that work for the business
- exploring fresh ways to gather useful information and make it better
- Using different computer languages and tools to create organized data solutions
- Combining information from many sources to make business models that work well
- Working together with other groups of data researchers, scientists, and analysts
Salary and job outlook
ZipRecruiter says that a big data expert makes an average of $125,662 per year. Big data experts with a lot of experience who are nearing the end of their jobs can make a lot more than that. People who are new to the field and don’t have much experience, on the other hand, can expect to make less.
That’s what the Bureau of Labor Statistics (BLS) says about people who work as “big data engineers.” They are similar to statisticians and computer and information science scientists. Here’s how the job market looks for each of these two groups:
Statistician: projected job growth of 31 percent between 2021 and 2031
Computer and information research scientist: projected job growth of 21 percent between 2021 and 2031
According to the BLS projections, the job of a big data engineer is likely to increase in demand significantly in the next few years, making this career a good one to pursue.
In-demand skills for big data engineers
It is common for big data engineers to possess all of the following skills:
- Computer programming with languages like C++, Java, and Python
- Databases and SQL
- ETL and data warehousing
- Talend, IBM DataStage, Pentaho, and Informatica
- Operating system knowledge for Unix, Linux, Windows, and Solaris
- Hadoop
- Apache Spark
- Data mining and modeling
How to become a big data engineer
There are several steps that most people complete on their journey to becoming a big data engineer.
1. Earn a degree.
Learn all of these professional skills, which means you will need a lot of schooling if you want to become a big data engineer. A lot of people who become big data engineers have bachelor’s or master’s degrees in an area like computer science, statistics, or business data analytics that is connected to their job.
Big data engineers need to know a lot about data, numbers, and how to code. For jobs as a big data engineer, most companies want you to have a bachelor’s degree.
2. Gain work experience.
If you want to work as a big data engineer, experience is very important. You can get experience by working as a freelancer, as an intern, on your own, or in a connected job. You have a better chance of getting a job as a big data engineer if you have more experience.
3. Consider a certification.
If you want to work as a big data engineer, getting skilled certificates can also help you a lot. When someone wants to become a big data engineer, each of the following skills can help:
- data engineer who is Cloudera Certified Professional (CCP)
- Certified Professional in Big Data
- Professional Data Engineer certified by Google Cloud
- The IBM Professional Certificate in Data Science
- The IBM Professional Certificate in Data Engineering
