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Data Engineer Lead (integration)
Software Technology Inc
- United States
- United States
Über
Team Overview: Modernize or migrate infrastructure and data for an existing data warehouses (on/off premise) (Microsoft/Oracle/Teradata/etc.) to the standard clients Microsoft Cloud environments. Overview of Work: Model, Design, Build, and Verify/Troubleshoot the tables, files, etc. and their data that is stored in the Chevron Microsoft Cloud environment (Data Lake, Azure SQL, Azure DWH) leveraging Chevron’s common/standard architecture design tools, design patterns, and languages Technical Skills: 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.) Soft Skills: 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 Education: Bachelor/master’s in computer science disciplines.
Sprachkenntnisse
- English
Hinweis für Nutzer
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