Data Modeling Technology Lead

Tasks

• Automate data refreshes
• Collaborate with project teams
• Create views in Databricks
• Develop Azure Analysis Services models
• Develop Power BI reports
• Mentor data modelers
• Monitor, tune, and optimize BI models
• Perform other duties as assigned
• Provision AAS resources
• Research and prototype new technologies
• Think critically about data solutions
• Understand business data needs

Perks/Benefits

• Career development
• Hybrid schedule
• Inclusive environment
• Work-life balance

Skills/Tech-stack

Agile methodology | Analysis Services | Automation | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Lake | Azure Databricks | DAX | Data Lake | Data Modeling | Data Validation | Data Warehouse | Data Warehouse Concepts | Dimensional Modeling | Performance Tuning | Power BI | Power Query | Relational databases | SQL | Star Schema | Synapse | Team Collaboration | Warehouse concepts