Data Engineering Concepts Interview

What they ask

A one-hour interview for data engineering roles built around tools and concepts, and around how you communicate them. Reported prompts:

• Describe a project you worked on and every tool and technology used in it, end to end.
• Data warehouse vs data mart: definitions, when you build each, and how they relate to a lakehouse.
• What you know about Docker and Kubernetes, and how you would containerize a scheduled pipeline.
• Cloud services you have used for storage, orchestration and querying.
• Batch vs streaming, and how you would design a nightly pipeline that loads bookings into a reporting model.
• SQL questions on window functions and slowly changing dimensions.

Communication and presentation skills are explicitly evaluated: speaking clearly, confidently and concisely counts.

What they look for

• A coherent architecture story for your own project (sources, ingestion, transformation, serving, monitoring).
• Correct, crisp definitions for warehouse and mart, with a real example of each.
• Enough container and orchestration knowledge to deploy a pipeline, not necessarily to run a cluster.
• Concise answers; rambling costs points in this interview by design.