Staff Data Engineer Elite Architecture
NetflixWhat Should We Recommend Tonight
We run a meal kit delivery service and want to personalize recipe recommendations for each customer. We have two rich data sources: customer order history and our full menu catalog with nutritional and ingredient data. The recommendations team needs a feature store they can query in real time, but right now orders and menu updates live in separate operational systems that are never joined. Design the ingestion and feature pipeline.
Ask the interviewer clarifying questions to understand the requirements and constraints before designing.
When you're ready, click Ready to Design to start building.
What Should We Recommend Tonight
A hard 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
- hard
- Seniority
- staff
Interview Prompt
We run a meal kit delivery service and want to personalize recipe recommendations for each customer. We have two rich data sources: customer order history and our full menu catalog with nutritional and ingredient data. The recommendations team needs a feature store they can query in real time, but right now orders and menu updates live in separate operational systems that are never joined. Design the ingestion and feature pipeline.
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