**Responsibilities**: (1) Pipeline dev—batch + streaming; (2) Data modeling—star schemas, dictionaries; (3) Data quality—checks, monitoring; (4) Platform support—troubleshooting, optimization, incidents; (5) Collaboration—requirements, analysts, ML. Own end-to-end flow....
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 Nihilent. The answer also includes follow-up discussion points that interviewers commonly explore.
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