Three sources feed six custom point-to-point Python jobs that land directly into a finance dashboard
A medium Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Pipeline Design
- Difficulty
- medium
Interview Prompt
Three sources feed six custom point-to-point Python jobs that land directly into a finance dashboard, a product dashboard, and an ML feature store. There is no shared raw layer, no shared curated layer, custom-coded ingestion, one orchestrator owning everything, and no undercurrents. Apply the five redesign steps the section walks through to turn this into a layered architecture with named contracts, bought commodity tooling, and split DAGs at team boundaries. Postgres ingestion stays custom; only commodity SaaS connectors are bought.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your pipeline design solution with real code execution
- Get instant feedback and a hire/no-hire decision