Problem
Scenario
You're planning a migration from one data system to another and need a clean way to move pipeline logic, historical data, and downstream dependencies without corrupting records or creating reporting gaps. You want a migration approach that keeps data trustworthy while both systems may run in parallel for a period.
Question
How do you ensure data integrity when migrating between systems?
What This Tests
- ETL migration planning
- Idempotent loads and replay safety
- Data quality validation
- Backfill strategy
- Workflow orchestration during cutover
Hi, I'll play your Cox Automotive - USA interviewer for the Data Engineer role. Candidates describe these interviews as mixed and moderately difficult, so expect me to be professional and fair. Take your time with the question above and answer like we're in the room.
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