Problem
Scenario
You're combining data from several systems into one pipeline and want to think through the common integration issues before building it. The goal is to make the data usable for reporting and downstream workflows without creating constant cleanup work.
Question
What are some common issues you run into when integrating multiple data sources?
What This Tests
- Recognizing schema and semantic mismatches across sources
- Understanding ELT orchestration with Airbyte and dbt
- Handling idempotency and duplicate records during retries
- Catching data quality issues before curated models are published
Practicing as: Data Engineer interview at UptakeHi, I'll play your Uptake interviewer for the Data Engineer role. Candidates describe these interviews as often stressful and moderately difficult, so expect me to be direct and to the point. Take your time with the question above and answer like we're in the room.
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