Job responsibilities
- Works alongside designers and analysts to develop data extraction and transformation pipelines
- Supports review of controls to ensure sufficient protection of enterprise data
- Advises and makes custom configuration changes in data extraction tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases
- Frequently uses SQL and understands cloud based computing
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on data lifecycle concepts and proficient applied experience
- Minimum of 3 years experience across the data lifecycle
- Advanced at SQL (e.g., joins and aggregations)
- Working understanding of Cloud platforms e.g. AWS
- Knowledge of Python, Databricks, SQL, Data modelling and analysis
- Adept at working with project analysts to develop a cohesive business requirement that can create testable outcomes
- Experience customizing changes in a tool to generate product
Preferred qualifications, capabilities, and skills
- Databricks
- AWS
- ETL background in other tools
- Data modelling
- Oracle database design