Three Questions to Help You Prepare for a Data Engineering Interview

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Data science is just one of the modern data-driven fields in our new data world. Another job that is even more prevalent than data scientist is data engineer. Now, being a data engineer does not have all the hype behind it of being a data scientist. However, companies like Google, Facebook, Amazon, and Netflix all need great data engineers!

Data engineering requires a combination of knowledge, from data warehousing to programming, in order to ensure the data systems are designed well and are as automated as possible.

The question is: How do you prepare for an interview for a data engineering position?

Many of the questions will require you to understand data warehouses, scripting, ETL development, and possibly some NO-SQL if the company uses a different form of data storage system like CouchDB.

In case you are preparing for a data engineering interview, here are some questions that might help you. We are focusing on conceptual questions. However, you should also work on some technical skills like SQL, Python, and etc.

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