A big data engineer requires education, work experience, and certification, which many professionals opt for.
If you have an interest in data, math, analytics, problem-solving, numbers, graphs, charts, and IT
Big data engineering is an exciting and fulfilling career path. This article aims to provide you with an informative understanding of the roles and responsibilities of big data engineers, the various job opportunities available, and how to embark on this career. After reading this article, you will have a better understanding of whether big data engineering aligns with your interests and aspirations
What Is A Big Data Engineer?
A big data engineer is a skilled professional tasked with developing, maintaining, testing, analyzing, and evaluating a company's data. They work with large datasets, known as big data, that companies collect during their business operations.
Proper utilization of big data can significantly improve a company's efficiency, profitability, and scalability. However, big data is only advantageous if a big data engineer builds systems to collect, maintain, and extract data. Therefore, big data engineers play a critical role in helping companies manage their big data.
What do Big data engineers and data scientists do differently?
Without a doubt, the key difference between big data engineers and data scientists is that big data engineers are unequivocally responsible for designing and maintaining the systems and procedures that gather and extract data. In contrast, data scientists meticulously analyze the polished data to create valuable insights through the use of various predictive models, enabling them to draw meaningful conclusions.
Salary and job outlook
According to ZipRecruiter, the average salary of a big data engineer is $125,662 [1]. Highly experienced big data engineers in the latter stages of their careers can make significantly more than that. However, those just entering the field who do not have a high level of experience can expect to make less.
The Bureau of Labor Statistics (BLS) places the job title big data engineer in the categories of statisticians and computer and information research scientists. Here is the job outlook for each of these two categories:
Statistician: Projected job growth of 31 percent between 2021 to 2031 [2]
Computer and information research scientist: Projected job growth of 21 percent between 2021 and 2031 [3]
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 career path to pursue.
In-demand skills for big data engineers
Data programming languages like Python
Talend, Pentaho, and Informatica
Operating system knowledge for Unix, Linux, Windows, and Solaris
Hadoop
Apache Spark
How to become a big data engineer?
There are several steps that most people complete on their journey to becoming a big data engineer.
Gain work experience.
Experience is a valuable asset for obtaining a job as a big data engineer. You can gain experience by freelancing, interning, practicing independently, or working in related positions. The more experience you get, the better your chances of obtaining a big data engineer position.
Consider a BootCamp.
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