Senior Data Engineer (Data Platform)
Posted Updated 13
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Summary
Builds and maintains scalable data platforms by designing data pipelines, ensuring data quality, and optimizing performance for a hardware-focused AI company.
- Build warehouse models and reusable data engineering frameworks
- Define durable data models and contracts
- Design build and operate batch and streaming data pipelines
- Handle late duplicate missing and changing data using idempotency validation and replay
- Implement data quality checks lineage monitoring and alerting
- Improve platform performance reliability scalability and cost efficiency
- Lead data migrations schema evolution backfills and recovery
- Own ETL ELT architecture and orchestration
- Review designs and code mentor engineers and raise standards for testing and operations
- Translate requirements into maintainable data products