Data Engineer interview practice

Pipelines, warehousing, batch-vs-streaming, and data quality — the modern data-platform interview with capacity drill-downs.

Topics this interview probes

Batch & streaming pipelines Warehouse modeling Data quality & contracts Orchestration Lakehouse formats Cost & partitioning

Design a pipeline that ingests 2TB daily with late-arriving data. How do you keep correctness guarantees?
When would you choose streaming over batch, and what does that cost you in complexity?
A downstream model degraded because upstream data changed silently. How do you prevent recurrence?

The live interviewer generates fresh, role-tailored questions — and drills down when your answers are vague.