Description
You will design and implement data structures to support ETL, data warehouse design, and enterprise data integration.
Responsibilities
- Design coherent conceptual, logical, and physical data models including associated physical feed formats.
- Build and maintain data models to report disparate data sets in a consistent manner.
- Create source-to-target mappings for complex ETL transformations.
- Write complex SQL statements to profile source data and validate transformations.
- Develop and implement data warehouse projects independently using transactional and dimensional modeling.
- Normalize and de-normalize data structures, introducing hierarchies and inheritance as required.
Required Skills
- 8+ years of experience designing Operational Data Stores (ODS) and data warehouses.
- Proficiency in conceptual, logical, and physical data modeling for both OLTP and OLAP.
- Extensive experience with data modeling tools such as Erwin or SAP PowerDesigner.
- Expertise in writing complex SQL for data profiling and transformations.
- Strong understanding of ETL and data warehouse processes and best practices.
- Practical knowledge of SQL vs NoSQL databases.
- Ability to work independently to provide structure in ambiguous situations.
Preferred Skills
- Experience with Master Data Management, Data Quality, and Data Governance.
- Knowledge of AWS cloud and Insurance domain.
- Familiarity with SAS VA, Tableau, SQL Server, Oracle, or Informatica.