Factory
US - California - San Francisco
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Architect and evolve the full data stack, including pipelines, models, and integrations to provide real-time business insights. Own the reporting surface and drive a self-serve analytics culture across product, engineering, and finance teams.
Requirements: Requires 4+ years of experience in data engineering with deep expertise in SQL and proficiency in JavaScript or Python. Must have hands-on experience with data modeling, warehouse architecture, and tools like dbt, Airflow, or Dagster.
Key Skills: Sql, JavaScript, Python, Data Modeling, Warehouse Architecture, BI Schema Design, Dbt, Airflow, Dagster, Product Analytics, Data Pipelines, Statistical Intuition, Experimentation Frameworks, Data Governance, Observability, Business Intelligence
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