Data Engineering Senior Manager (Microsoft Fabric & Databricks)
Tasks
- Administer data solutions
- Assess existing data solutions
- Build interactive dashboards
- Configure Azure data solutions networking
- Create data visualizations
- Deliver modern data engineering solutions
- Deploy Azure data solutions
- Design data engineering solutions
- Develop data strategies
- Enforce data security practices
- Identify opportunities to integrate product solutions
- Implement ETL processes
- Implement data governance frameworks
- Lead and mentor project teams
- Manage client deliverables
- Migrate data solutions
- Model data using dimensional modeling
- Optimize data pipelines
- Optimize database queries
- Perform exploratory data analysis
- Prepare client proposals and strategies
- Provide performance development
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
Access Control | Azure AI | Azure Databricks | Azure Storage | Data Governance | Data Modeling | Data Security | Data Warehousing | DataOps | DevOps | Dimensional Modeling | ETL | Encryption | Entity Relationship Diagrams | Entity relationship | Git | Microsoft Azure | Microsoft Fabric | Microsoft Purview | Power BI | PySpark | Relationship Diagrams | SQL | Semantic Modeling | SparkSQL
Education
Regions
Countries
States
Cities
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