System Design questions from Meesho data engineering interviews.
These system design questions are sourced from Meesho data engineering interviews. Each includes an expert-level answer. This set leans toward senior-level depth (5 of 5 are tagged hard). Recurring themes are join, partition, and spark — these patterns appear most often in real interviews and reward the deepest preparation. Average answer is around 3 minutes of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 5 curated questions: 0 easy, and 5 hard. The distribution skews toward harder problems, reflecting the depth expected in senior-level interviews.
The most frequently tested areas in this set are join (5), partition (5), spark (5), window (4), optimization (1), and airflow (1). Focusing on these topics will give you the highest return on your preparation time.
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.
Design an e-commerce platform like Flipkart
How does Presto fetch data from a data catalog?
How would you design the architecture to handle high availability and scalability?
How would you ensure the system can handle millions of concurrent users?
How would you set up an alert system to monitor your ETL pipeline for failures or performance issues?
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