Problem
A large pipeline already produces correct outputs, but runtime and cost are too high. You need to improve efficiency without changing business logic, output definitions, or downstream expectations.
What This Tests
- ETL optimization techniques
- Batch workflow tuning
- Orchestration-aware improvements
- Data quality preservation during optimization
- Tool-specific performance trade-offs in Alteryx Designer Cloud and Snowflake
Constraints
Do not change business logic
Do not change final output schema
Keep existing data quality expectations
Prefer operationally simple improvements first
Practicing as: Data Scientist interview at Via TransportationHi, I'll play your Via Transportation interviewer for the Data Scientist 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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