Vacancy expired!
- Model, Design, Build, and Verify/Troubleshoot the tables, files, etc. and their data that is stored in the Microsoft Cloud environment (Data Lake, Azure SQL, Azure DWH) leveraging common/standard architecture design tools, design patterns, and languages
- Knowledge of Design/Modeling tools (IBM Data Architect, etc.)
- Knowledge of Azure Data Lake and Azure SQL storage platforms
- Understanding of older storage platforms (MS SQL Server, Oracle, Teradata, ERP/SAP, etc.)
- Understanding of Azure Synapse, Azure DWH
- Understanding of Integration tools within Azure (Azure Data Factory (ADF), Azure Data Brick, Python, Spark SQL)
- Understanding of older integration is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.)
- Knowledge of Upstream business & Upstream data patterns (DIAL, OSDU, Microsoft Energy Design Patterns, etc.)
- Knowledge in Data Modeling best practices (Star Schema, Time-Series, CI/CD, Cube)
- Ability to analyze various data set, resolve data relationships, and data troubleshooting, & dissect complex calculation into actionable smaller parts
- Ability to communicate with both business SMEs and integration developers
- Ability to navigate and comprehend mapping documents
- Understanding of CI/CD pipelines, branching strategies, & GIT for code management
- Experience with Azure DevOps (ADO) tool for work management
- Practitioner of Agile/SAFe practices