Data Engineering Senior Manager (Microsoft Fabric & Databricks)
Tasks
- Administer and maintain data solutions
- Assess existing data solutions
- Contribute to client proposals and strategies
- Create data visualizations and dashboards
- Design data engineering solutions
- Design data warehousing solutions
- Develop data strategies
- Implement ETL processes
- Implement data governance frameworks
- Implement data security practices
- Manage client risk
- Manage deliverables and project work plans
- Optimize data pipelines queries and models
- Perform exploratory data analysis
- Plan and migrate data solutions
- Provide performance development to teams
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Azure Databricks | Azure Networking | Azure Storage | Azure Well Architected | Azure Well-Architected Framework | Data Governance | Data Migration | Data Modeling | Data Security | Data Warehousing | DataOps | DevOps | Dimensional Modeling | ETL | Encryption | Entity Relationship Modeling | Entity relationship | Git | Microsoft Fabric | Microsoft Purview | Power BI | PySpark | Relationship Modeling | SQL | Semantic Modeling | Spark | SparkSQL | Well-Architected Framework
Education
Regions
Countries
States
Cities
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