Role Overview
Designs and builds data infrastructure and analytics-ready data models, develops and maintains data pipelines, and partners with business stakeholders to understand requirements.
What You Will Do
Develops and maintains data pipelines, transforms data, and designs semantic layers, metrics, and business logic for analytics consumption.
Why It Might Be a Fit
Requires strong analytical SQL skills, experience with data modeling concepts, and ability to communicate effectively with technical and non-technical stakeholders.
Requirements
- 5+ years hands-on experience with SQL, Python, data modeling, and data engineering
- Expert-level analytical SQL skills
- Experience with data lakes, automation, and simplification improvements
- Strong understanding of data modeling concepts
- Experience with modern analytics engineering tools and practices
- Ability to communicate effectively with technical and non-technical stakeholders
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