Microsoft Data Engineer Interview Questions

I would model around the questions the business needs answered, not around the raw source tables. That usually means defining the grain clearly, separating facts and dimensions, and keeping metric definitions consistent.

I would treat schema changes as controlled events with validation and version awareness. Some changes are safe, like adding a column, while others require a migration plan because they can break consumers.

I would describe the starting pain point, the improvement I made, and the measurable outcome. A strong answer shows that I can raise reliability, reduce cost, or improve freshness, not just write new code.

I would tie my answer to strong fundamentals, practical pipeline design, and the ability to make data dependable at scale. A good response should show that I can handle SQL, system thinking, debugging, and data quality with the rigor a Microsoft-level role expects.