- Design, build, and maintain reliable ETL/ELT pipelines.
- Own the dbt models and datasets that serve as the source of truth for key business metrics.
- Govern the semantic layer so metric definitions stay consistent and documented across reporting surfaces.
- Implement testing and observability for analytics pipelines.
- Partner with analysts and stakeholders to gather requirements and turn them into clean, well-scoped solutions.
- Run hands-on analysis and deep dives: KPIs, release performance, and A/B tests.
- Take end-to-end ownership of problems from scoping through production.
- Leverage AI tools and agentic workflows to write code and debug faster, while helping build natural-language querying tools for stakeholders.
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