At a high level, data engineers help take data from point A to point B and remodel it into a format where analysts and data scientists can easily use it.
From a skills perspective, this means that data engineers specialize in ETLs (extract, transform, load), automation (usually with Python or other programming languages), data modeling/data warehousing, SQL and NoSQL data manipulation, and data visualization, to name a few.
The skills that are less known are skills like ETLs and data warehousing. Both of these are usually discussed more in master’s or certificate programs after getting your bachelor’s degree — although we suspect this will or has already changed.
More than likely you will need to learn these skills in some form of order.
Learn More about data engineering Googles DE certificate
coursera.pxf.io/rn1rGv
Starting with python and SQL, then ETLs and data warehousing, cloud and data viz, etc.
0:00 Intro
2:08 Python And SQL
3:25 ETL and Data Warehousing
5:14 Cloud, DevOps and Dataviz
6:49 Specialize
The dashboard UI article i reference can be found here
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Watch our video on the reality of being a data engineer
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What Skills Do Data Engineers Need To Know
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