Related skills
aws sql python dbt data modelingπ Description
- Build data pipelines based on product data for Enterprise customers.
- Architect and design data models with data and product teams.
- Communicate effectively across multiple teams and projects.
- Deploy Data Ops to Motive; drive robust data models with latest tools.
- Work with Airflow, AWS, data observability tools, and dbt-like frameworks.
π― Requirements
- Bachelor's degree or higher in a quantitative field (CS/Math/Econ/Stats).
- 6+ years in Data Engineering, incl. building modelled tables.
- Strong SQL, Python, and data stack (dbt, Airflow, AWS).
- Willingness to learn new technologies.
- Solid communication and collaboration skills.
π Benefits
- Diverse and inclusive workplace; equal opportunity employer.
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