Data Engineering Interview Process at Tier-1 Companies
We prepare you for all stages of a typical data engineering interview process at FAANG and Tier-1 companies
1 round of writing SQL queries
5-6 problems on a dataset (understanding the trade-offs between joins, equivalent queries, and so on)
1 round based on Python, SQL, and Big Data Frameworks
Writing MapReduce equivalent for SQL/Spark queries
Programming questions on dictionary manipulations
Working knowledge of Hive, Spark, and other NoSQL databases
2-3 rounds on core Data Engineering concepts
Data modeling problem followed by related SQL questions
Designing an ETL system for a given use case
Understanding the trade-off between tools (applicable to senior roles)
Optimizing and fine-tuning
1 behavioral interview round
Questions related to your job experience
Discussions on past projects
Open-ended questions to gauge if you're a "good fit"
Top companies love hiring our candidates
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What our students say
Flavia Vela
Senior Software Engineer
Offers from
The classes, workshops, quizzes, practice problems, and mock interviews provided me with the knowledge, tools, and the feedback that I was missing. Interview Kickstart showed me how to prepare for success.
Michael Huston
Offers from
I can't think of a better recipe for tech interview success than combining the Interview Kickstart program with hard work. The program made my prep much more effective and eliminated surprises from the interview process.
Mike Kane
Data Engineer
Offers from
"Interview Kickstart was the best because its structure helped me understand each problem in my interview. I started interviewing for Facebook in May and received an offer from them shortly after."
Akshay Lodha
Data Engineer
Offers from
"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."
Frequently Asked Questions
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What are the coding topics essential for Data Engineering interviews, and how does this course approach them?
What skills do you need to be successful in the Data Engineering domain?
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