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bigquery looker snowflake sql python📋 Description
- Design, build, and maintain production data models powering incentives, promotions, and lifecycle analytics.
- Partner with Data Eng to model source data from multiple systems and implement auditable ELT.
- Define KPI definitions for marketing efficiency and ROI; enable self-serve analytics with semantic models and LookML.
- Set and enforce data quality standards with automated tests, lineage, docs, and monitoring.
- Collaborate with Product/Marketing/Engineering to scope requirements and deliver datasets for experimentation.
- Improve pipeline performance, reliability, and cost; promote code review and CI/CD for analytics.
🎯 Requirements
- 4+ years in analytics/data engineering or BI building production data models in the cloud.
- Advanced SQL proficiency with performance tuning in Snowflake, BigQuery, or Redshift.
- 2+ years implementing dbt projects (models, tests, macros) in production with Git-based workflows.
- Hands-on experience orchestrating ELT/ETL with Airflow, Dagster, or similar.
- Experience building semantic layers and BI models (Looker/LookML) for self-serve analytics.
- Demonstrated automated data quality testing and data observability; ownership of docs and lineage.
- Bachelor’s degree or equivalent practical experience.
- Proven success partnering cross-functionally to translate ambiguous requirements into scalable datasets.
🎁 Benefits
- Flex First, remote-friendly policy; work from home, office, or other locations.
- New hire equity grant and annual refresh grants.
- Access benefits via Taste of Instacart program.
- Learn more about the Flex First policy at instacart.careers.
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