Microsoft Analytics Data Engineer Senior Consultant
Tasks
- Administer and maintain data solutions
- Apply analytics and data engineering methodologies
- Apply data security practices
- Architect future state data solutions on Azure
- Assess existing data solutions for improvement
- Communicate value to customers
- Create data models
- Create data strategies aligned to business goals
- Deploy Azure data solutions using DevOps or DataOps
- Design and manage data warehousing solutions
- Develop data visualizations and interactive dashboards
- Establish project scope and work plans
- Facilitate project work plan completion
- Identify project risks and opportunities
- Implement ETL processes and databases
- Implement data governance frameworks
- Mentor and coach team members
- Optimize data pipelines queries and data models
- Perform exploratory data analysis
- Plan and migrate data solutions to Microsoft cloud
- Prepare deliverables
Perks/Benefits
- Adoption and fertility assistance
- Choice time off
- Company 401k match
- FSA and HSA
- Hybrid work
- Life and accident insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid parental leave
Skills/Tech-stack
Access Control | Azure | Azure Databricks | Azure Storage | Azure Well Architected | Azure Well-Architected Framework | DAX | Data Analysis | Data Governance | Data Modeling | Data Security | Data Visualization | Data Warehousing | DataOps | DevOps | Dimensional Modeling | ETL | Encryption | Entity Relationship Diagrams | Entity relationship | Exploratory Data Analysis | Git | Interactive dashboards | MDX | Microsoft Fabric | Microsoft Purview | Power BI | PySpark | Relationship Diagrams | SQL | Semantic Modeling | Semantic layer | Spark | Well-Architected Framework
Education
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