How To Become A Data Engineer: A Guide

How To Become A Data Engineer: A Guide

Unemployment rates are at a record low and the economy is at boom. Companies worldwide are facing a shortage though; they need skilled professionals. To narrow it down, the skill crunch in tech profiles is a looming reality. Big data analytics is one area with a milieu of vacant positions and skill crunch.

While it would be swell to get data scientist and data engineering skills in the same folder, it’s a prudent choice to pursue one of the specializations as you take the first steps. In its premise data scientist and data engineer may look synonymous, but they are different functions in big data.

We are starting with the assumption that you know what big data is even if you are at your layman knowledge level here. It is after all the next big thing. Jumping to the point, data scientists are all about interactions with data infrastructure. The skills that go in this blender are statistics, mathematics and a strong concept of machine learning. Data scientists have to take up a chunk of market and operations research, so, logic and reasoning counts as a crucial skill set.

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