- Build and maintain business-critical data models in dbt that power credit, payments, and fraud/AML reporting and decision-making
- Partner closely with stakeholders, Data Engineers and Data Analysts to align on requirements, ownership, and success criteria
- Contribute to our semantic layer (LookML) to enable consistent and scalable reporting as well as self-serve exploration
- Own and improve data quality through testing, documentation, monitoring, and proactive issue detection (including working with orchestration where needed, e.g. Airflow/Astronomer)
- Contribute to shared analytics engineering ways of working: code reviews, standards, reusable patterns, and reducing technical debt
SQLGitAirflow+3 more