Related skills
etl sql python data visualization scala📋 Description
- Lead Analytics Engineering within the Consumer org.
- Improve data quality and reliability across data pipelines.
- Build data tooling for product feature tracking and analysis.
- Create ETLs, dashboards, and data aggregations for teams.
- Build robust data pipelines with engineering collaboration.
- Drive data self-service and data-driven culture.
🎯 Requirements
- Degree in a quantitative field (stats, CS, math, econ, physics)
- 4+ years with large-scale ETL in production; Python preferred
- Proficient in Python, SQL, Spark, Scala
- Experience with data modeling, ETL/ELT, and large-scale data
- Experience with data workflows (Airflow) and data visualization
- Deep knowledge of relational and MPP databases
🎁 Benefits
- Global benefit programs for workspace, dev, caregiving.
- Family planning support
- Gender-affirming care
- Mental health and coaching benefits
- Medical benefits and Health Care Spending Account
- RRSP with matching contributions
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