Interview
Questions
Data Engineering: Reliable Platform Decisions
Practice data architecture, migrations, operating failures, cost trade-offs, and responsible data use. Explain the consequences for downstream teams.
Practice these questions directly. An editable copy is yours to change; the original stays unchanged.
How do you decide between batch and streaming processing for a given use case? Describe a situation where you made this architectural decision.
Tell me about your approach to data modeling. Describe a complex data model you designed and the principles that guided your decisions.
Data pipelines fail. Tell me about a significant pipeline failure you dealt with. How did you respond, and what did you do to improve reliability?
How do you handle schema changes and data migrations in production pipelines? Describe a challenging migration you managed.
Data infrastructure can be expensive. Tell me about a time you optimized data pipelines or storage for cost. What approaches did you take?
Data privacy and compliance are increasingly important. Tell me about a time you had to consider privacy requirements (GDPR, PII handling, etc.) in your data engineering work.
Data engineering work often impacts business decisions. Describe a time you explained technical data concepts or limitations to non-technical stakeholders. How did you ensure understanding?
Data engineers often work closely with analysts and data scientists. Tell me about a time you collaborated with these stakeholders to understand and deliver their data needs.