- Build and maintain scalable, automated ELT/ETL pipelines that provide a single source of truth.
- Implement rigorous automated testing and monitoring to ensure data integrity and reliability.
- Optimize warehouse storage and compute costs while reducing pipeline latency.
- Partner with Data Scientists and Product Managers to translate business requirements into technical data models.
- Promote a DataOps culture within the team by conducting code reviews and sharing best practices.
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