Behavioral/Technical: Data‑Heavy Project Deep Dive (Data Engineer)
Describe one data‑heavy project from your resume. In your answer, cover the following:
-
Objective and success criteria
-
Your responsibilities and collaborators
-
Technical architecture and stack (ingestion, processing, storage, orchestration, monitoring)
-
Dataset characteristics (volume, velocity/latency SLOs, variety/sources, quality/privacy constraints)
-
Challenges (e.g., data quality, scale, latency, cost, reliability, schema evolution) and key decisions/trade‑offs
-
Measurable results and impact (quantified)
Keep it concise but concrete; be ready to sketch a high‑level architecture if asked.