Interview preparation
Data Engineering interview questions
Every question starts with a direct answer you could say out loud, then explains why, when and what goes wrong. Tick questions off as you practise.
All Data Engineering questions
| # | Question | Difficulty | Type | Done |
|---|---|---|---|---|
| 1 | ETL vs ELT: what factors decide the choice? | Easy | conceptual, architecture | |
| 2 | Data lake vs warehouse vs lakehouse: when would you choose each? | Medium | conceptual, architecture | |
| 3 | How would you design an idempotent batch pipeline? | Medium | architecture, scenario | |
| 4 | How would you investigate a suddenly slower data pipeline? | Medium | debugging, scenario | |
| 5 | What are the most important data-quality checks in production? | Medium | conceptual, scenario | |
| 6 | How would you design a CDC pipeline? | Hard | architecture, scenario |
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