Data Engineer Cheat Sheet

Published 2026-07-09 in Data Engineering

90% of Data Engineer candidates don't fail because they don't know SQL... They fail because they forget the basics under interview pressure. The interviewer asks: 👉 Difference between ETL & ELT? 👉 Partition vs Bucketing? 👉 Broadcast Join or Shuffle Join? 👉 Delta Lake ACID? 👉 SCD Type 1 vs Type 2? Suddenly... Everything goes blank. That's exactly why I created this Data Engineer Cheat Sheet 📘 A quick revision guide covering the concepts interviewers ask repeatedly. ✅ SQL Essentials ✅ PySpark Concepts ✅ Spark Architecture ✅ Delta Lake ✅ Data Warehousing ✅ ETL vs ELT ✅ Partitioning & Bucketing ✅ Joins & Optimizations ✅ Azure Data Factory ✅ Snowflake Basics ✅ Kafka Fundamentals ✅ Real Interview Tips 💾 Save this post. One quick revision before your interview can make a huge difference. 👇 Which topic do interviewers ask you the most? 🚀 Preparing for Your Next Data Engineer Interview? Join 3,000+ professionals who have used these resources to prepare for interviews at top product companies and MNCs.

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