- Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake.
- Develop and optimize data ingestion workflows, API integrations, and CDC pipelines using established engineering frameworks and best practices.
- Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable and trustworthy data products.
- Design and maintain analytics-ready data models, including reporting marts and dimensional models that support business insights.
- Leverage AI-powered development tools such as GitHub Copilot and Claude to improve productivity, code quality, and documentation.
- Collaborate with analysts, BI teams, and stakeholders to define metrics, clarify business logic, and deliver impactful data solutions.
- Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices.
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