Key skills
PythonSQLData EngineeringAnalyticsdbt
About this role
Role Overview
- Design, Develop and Support complex Data pipelines
- Own end-to-end design and implementation of dbt models
- Optimize existing data pipelines
- Instrument data pipelines with quality frameworks
- Collaborate with other team members to deliver tasks
Requirements
- 4+ years of professional experience in data engineering or analytics engineering
- Intermediate to advanced proficiency in dbt
- Expert-level SQL, including window functions and complex aggregations
- Intermediate Python proficiency for data pipeline scripting
- Demonstrated experience designing data architecture for analytical reporting
Tech Stack
- Python
- SQL
Benefits
- Professional development opportunities
- Flexible working arrangements