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Data Engineer interview questions: the 8 to ask
A data engineer builds and hardens the pipelines that collect, transform and serve data.
- 1.How do you design an idempotent pipeline?
- 2.Batch or streaming: how do you choose?
- 3.How do you test data quality?
- 4.How do you handle an upstream schema change?
- 5.How do you speed up a slow Spark job?
- 6.Star schema or wide table: when do you use each?
- 7.How do you backfill history without duplicates?
- 8.How do you keep cloud warehouse costs down?
Tip: for every answer, ask for a concrete example (situation, action, result). An answer without an example is worth half.
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