How to Prepare for Data Engineer Interviews?

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In recent years, due to the humongous growth of Data, almost all IT companies want to leverage the Data for their Businesses, and that's why the Data Engineering & Data Science opportunities in IT companies are increasing at a rapid rate, we can easily say that Data Engineers are currently at the top of the list of "most hired profiles" in the year 2020-21. 

And due to huge demand companies wants to hire Data Engineers who are skilled in programming, SQL, are able to design and create scalable Data Pipelines, and are able to do Data Modelling. In a way, Data engineers should possess all the skills that Software engineers have and as well as skills Data Analysts possess. And, in interviews also the companies look for all the skills mentioned above in Data Engineers.

So in this blog post, I am going to cover all the topics and domains one can expect in Data Engineer Interviews

A. Programming Round

Most of the Product based companies, especially MAANG (Meta, Apple, Amazon, Netflix & Google) look for candidates who are extremely good in coding and how well and optimized code Data Engineers can write. So typically the first round for these companies is solving coding questions. Although the level of coding questions would range from Easy to Medium. This round could be an online coding question or whiteboard coding asked in an interview.


B. Technical Round

There could be a first technical round where interviewers want to see whether are you are clear in basic concepts required for any Data Engineering jobs or not. So this round can be full of trivial Programming, Data Structures, Distributed Systems, Data Pipelines & SQL questions. It is not necessary to answer all the questions right but you should be able to answer most of the questions correctly. And you should always answer them briefly without going into much in detail due to time limitations. 


C. System Design Round

Apart from the basic conceptual-based questions, companies also want to know how much you know about Data Engineering. So questions about Data Pipelines, ETL Pipelines, Data Processing Frameworks like Hadoop, Spark, Beam, etc would be asked. You should be able to clearly explain how would you design, create and maintain reliable and fault-tolerant pipelines for a huge volume of data. You should be able to answer questions related to Big Data. Check out more about that in Top Big Data Interview Questions


D. HR/Behavioural Round

Almost all companies conduct these types of interviews to see if the candidate can communicate well, express his thoughts and ideas well, and if he is a good fit for the team and organization. In this round, you can expect typical HR questions like why do you want to join this company, why do you want to leave your current job, why should we hire you, etc. You can also expect some behavioural questions like tell me your last project which you are proud of, tell me where you deal with conflicts within the team, etc. For these rounds, it is better to prepare beforehand, write and practice before appearing for an interview.

Good Luck for the Interviews!!

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