Related skills
github looker sql python tableau📋 Description
- Partner cross-functionally with product, engineering, and data science teams to scope analytics initiatives.
- Design and maintain ETL pipelines and data models using Airflow and Spark.
- Lead end-to-end analytics product development from ingestion to visualization.
- Build internal frameworks and tooling to make data accessible across the org.
- Collaborate with data scientists to transform data into actionable insights.
- Champion analytics best practices and drive data literacy across teams.
🎯 Requirements
- 3+ years in Analytics Engineering, Data Engineering, or related field.
- Strong SQL, Python, and Apache Spark (PySpark, Spark SQL) expertise.
- Proficiency in ETL pipelines with Airflow or similar.
- Experience building dashboards with Superset, Looker, Tableau.
- Familiar with GitHub, CI/CD, and modern development workflows.
- Strong product-oriented mindset and ability to work in a fast-paced, cross-functional environment.
🎁 Benefits
- Bonus opportunities and equity
- Total Rewards vary by region
- Inclusive interview experience and accommodation options
- Benefits vary by role and region
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