General questions from Meesho data engineering interviews.
These general questions are sourced from Meesho data engineering interviews. Each includes an expert-level answer. This set leans toward the medium-difficulty band most real interviews actually live in (2 of 5). Recurring themes are python, partition, and spark — these patterns appear most often in real interviews and reward the deepest preparation. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 5 curated questions: 2 easy, 2 medium, and 1 hard. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are python (2), partition (2), spark (1), etl (1), join (1), and optimization (1). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
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?
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