DE Interview Preparation

Crack Your Next Data Engineering Interview

Curated real interview questions, system design frameworks and expert tips from engineers who cleared interviews at top Indian tech companies.

500+Questions
4Tracks
100%Free
RealCompany Qs
💡 Pro Interview Tips
🎯

Structure answers with STAR method for behavioural questions

📊

Always mention scale — companies want to hear "at 10M records/day"

Connect concepts to tradeoffs — there's never one right answer

💡

Ask clarifying questions before designing — show senior thinking

🔁

Repeat the question back to confirm your understanding

🧪

After your answer, mention how you'd test and monitor it in prod

Pick your track and go deep

Each track contains the most commonly asked questions from actual DE interviews at top companies in India.

PySpark & Spark

Explain the Spark execution model and DAG
Difference between RDD, DataFrame and Dataset
How does Spark handle data shuffling?
Explain broadcast join and when to use it
What is speculative execution in Spark?
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🔄

Data Engineering

Design a real-time ETL pipeline for 1M events/min
How would you handle late-arriving data in streaming?
Explain SCD Type 1, 2, and 3 with examples
What is data lineage and why does it matter?
How do you ensure exactly-once processing?
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💾

SQL & Databases

Difference between RANK, DENSE_RANK, ROW_NUMBER
Write a query to find the 2nd highest salary
Explain clustered vs non-clustered indexes
What is a covering index?
Optimize a query with a slow nested subquery
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🏗️

System Design

Design a data lakehouse for a fintech company
How would you build a real-time recommendation system?
Design an event-driven pipeline with Kafka
Explain Lambda vs Kappa architecture
How to handle 1TB daily data ingestion?
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