Data Engineering Specialist
Tasks
- Automate data preparation and reporting with Python
- Build Power BI datasets dashboards and reports
- Build and maintain SQL data warehouse objects
- Deploy Power BI using DevTestProd pipelines
- Design dimensional models
- Develop semantic layer for business logic
- Document data models lineage and business definitions
- Gather reporting requirements and prioritize backlog
- Implement row-level security and access control
- Manage Power BI workspaces dataflows and refresh schedules
- Monitor performance and tune models queries and refreshes
- Optimize DAX and Power Query
- Translate business needs into technical specifications and deliver solutions
Perks/Benefits
- Career development
- Continuous training
- Dental insurance
- Health insurance
- Hybrid work environment
- International mobility program
- Life insurance
- Long-term disability insurance
- RRSP matching
- Team building
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | DAX | Data Factory | Data Modeling | Data Warehousing | Dimensional Modeling | ELT | ETL | Excel | Microsoft Fabric | Power BI | Power BI Service | Power Query | Python | Row Level Security | SQL | Semantic layer | Stored Procedures | Synapse Analytics
Education
N/A
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