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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Top companies love hiring our candidates!
10K+
Experienced engineers enrolled
7
Years of successful training in Silicon Valley
18
Highest number of offers received by an alum
5
Avg years of experience of our alumni
What our students say
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."
Rupesh Dabbir
Offers from
Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.
Sujay Ghosh
Offers from
"Interview Kickstart Helps People Transition into FAANG Companies. I Got Into Amazon."
Frequently Asked Questions
What do the statistics/probability rounds look like in a Data Science interview?
What do the coding rounds look like in a Data Science interview?
What coding topics are essential for Data Science interviews, and how does our program approach them?
What does the data science domain interview round look like?
Here are some examples of domain-specific questions that have been asked in the interview: