Interview questions
Preparing for a data engineering interview at Microsoft? This page contains 11 real interview questions sourced from verified Microsoft interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Microsoft data engineering interviews typically focus on System Design/Architecture, Python/Coding, and Spark/Big Data. The interview bar skews toward harder problems (7 hard vs. 3 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
When would you choose a Snowflake schema over a Star schema?
How do you ensure data quality and validation in a fast-moving team?
Given a list of intervals, merge the overlaps. How do you optimize it?
How would you test these functions with edge cases?
Solve the Dutch National Flag problem in one pass. How would you handle it?
Explain how Spark groups transformations into stages. What causes a stage boundary?
How do you set up CI/CD for a PySpark ETL workflow?
Design a data model to track orders, payments, and shipping — handle changes in customer address
Design a data pipeline to ingest and process clickstream data in near real-time
How does HDFS handle fault tolerance?
How would you manage schema evolution in your data lake?
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