Related skills
etl sql python scala data modeling📋 Description
- Lead Analytics Engineering within the Consumer org, driving data quality and automation.
- Steward Consumer data: design data collection, ETLs, dashboards.
- Build and maintain robust data pipelines for ingestion and processing.
- Create internal tools to streamline analysis and drive adoption.
- Lead data-driven culture by enabling self-service analytics.
- Mentor data scientists and technical partners.
🎯 Requirements
- Degree in a quantitative discipline (stats, OR, CS, math, econ, physics).
- 4+ years with large-scale ETL systems; Python preferred.
- Strong Python, SQL, Spark, and Scala proficiency.
- Experience with data modeling, ETL/ELT concepts, and large data.
- Experience with Airflow and data workflows; front- or back-end engineering.
- Experience in data visualization and dashboard design.
🎁 Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global benefit programs for workspace, development, and caregiving
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
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