Design, build, maintain dbt models for analytics and reporting.
Develop and maintain metrics and source-of-truth data marts for reporting.
Create clean, efficient, scalable data models with Data Architects and Engineers.
Implement data quality checks using dbt tests (schema and data).
Create and maintain clear documentation for data models using dbt docs.
Monitor and support data model pipelines; troubleshoot issues as needed.

🎯 Requirements

Advanced SQL: complex transformations, window functions, CTEs.
dbt: project structuring, tests, docs, macros/packages.
BigQuery: partitioning, clustering, performance tuning, cost optimization.
Git: version control.
CI/CD for analytics workflows (GitHub Actions, GitLab CI).

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