- Collaborate with team members to gather business requirements and design data models.
- Build and provide complete, reliable, and accurate data for the company.
- Design, develop, and extend ETL code and data pipelines for the Enterprise Data Lake.
- Create and maintain architecture and system documentation.
- Maintain core datasets and data products in the Data Catalog to support self-service analytics.
- Develop code meeting internal standards for style and maintainability, ensuring high-scale data environment performance through code reviews.
- Approve data model changes as a Data Team Reviewer and manage specific datasets and schemas.
- Share expertise in modeling and transformation via code reviews, pairing, and training to deliver optimized designs in Databricks.
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