Meesho Data Engineer Interview Questions & Answers (2026)

Meesho is known for rigorous data engineering interviews that focus on practical, production-level knowledge. With 59 questions in our vault, the most common category is Spark/Big Data (26 questions). Difficulty breakdown: 22 easy, 6 medium, 31 hard. Expect system design and optimization questions at senior levels.

- **Q1**: Tell me about yourself and your experience. - **Q2**: Tell me about your family background - **Q3**: Explain the differences between Data Warehouse, Data Lake, and Delta Lake - **Q4**: Design a fault-tolerant Spark Streaming checkpoint strategy: what to persist, recovery semantics, and cost/scalability trade-offs with checkpoint frequency. - **Q5**: Given a streaming dataset from Kafka, how would you ingest the data in real-time using Spark?

- **Spark/Big Data**: 26 questions - **SQL**: 9 questions - **Behavioral**: 7 questions - **Python/Coding**: 7 questions - **General/Other**: 5 questions - **System Design/Architecture**: 5 questions

Focus on Spark/Big Data questions first, as they dominate Meesho's interview pattern. Practice the top-frequency questions below, then move to adjacent categories. For senior roles, expect 1-2 system design rounds.