**Situation**: Context of the challenge. **Task**: Your responsibility. **Action**: Specific steps, tools, collaboration. **Result**: Quantified outcome. Structure: 1–2 min. "I'm a data engineer with X years focused on SQL, Python, and data warehousing. I've built pipelines processing [volume] for [domain]. Key responsibilities: designing schemas, optimizing ETL, ensuring data quality. Recent project: [brief example—e.g., migrated warehouse to Snowflake, 50% query improvement]....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like EY. The answer also includes follow-up discussion points that interviewers commonly explore.
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