Interview questions
Preparing for a data engineering interview at Meesho? This page contains 59 real interview questions sourced from verified Meesho interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Meesho data engineering interviews typically focus on Spark/Big Data, SQL, and Behavioral. The interview bar skews toward harder problems (31 hard vs. 22 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.
Tell me about yourself and your experience.
Tell me about your family background
Explain the differences between Data Warehouse, Data Lake, and Delta Lake
Design a fault-tolerant Spark Streaming checkpoint strategy: what to persist, recovery semantics, and cost/scalability trade-offs with checkpoint frequency.
Given a streaming dataset from Kafka, how would you ingest the data in real-time using Spark?
What are your hobbies or activities you enjoy outside of work?
What are your key achievements in your career so far?
What database would you choose for handling transactional and non-transactional data? Why?
What is your ultimate career goal or life goal?
Why do you think Meesho is the right fit for you?
Can you elaborate on your Big Data project experience?
Describe the ZS projects you worked on
Find All Numbers that Appear at Least Three Times Consecutively
The Stock Span Problem
What would you do if a job misses its SLA? How would you handle such situations?
Can you explain the concept of polymorphism and inheritance in Java with examples?
Discuss the tech stacks and responsibilities at Morgan Stanley
Trapping Rain Water - calculate amount of water trapped between array elements
What are the key differences between interfaces and abstract classes in Java?
Write Java code to read a file using FileInputStream
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