The successful candidate is expected to have a broad skill set and be capable of performing diverse functions and activities, including but not limited to:
• Understanding of data warehouse design principles, including dimensional modeling, star schemas, snowflake schemas, and the use of conformed dimensions to ensure consistency across data marts.
• Review both logical and physical data models that efficiently store data and support business processes.
• Support the development and adoption of best practices for data management, integration and common data management, and standardized methodologies.
• Contribute to development of individual data architectures, testing and data quality practices, as needed, to support business objectives.
• Work with datasets using ETL (Extract, Transform, Load) tools and techniques for integrating data from various sources into the EDW.
• Interact with clients/partners