Your question is Batch Pipeline with Airflow and Spark. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Walk through how you would build a batch pipeline using Airflow, Spark, and S3, including retries, monitoring, and schema validation
Asked in the Round 2: Data Pipeline Design stage. Candidate proposed this design and discussed it in depth.
Explain the end-to-end design, including orchestration, data layout, Spark processing, validation, failure recovery, observability, and safe reruns. Be explicit about assumptions, idempotency, data-quality failures, and how you would prevent partial or corrupted outputs.