Data & Analytics Engineer, MS Fabric
Vancouver, British Columbia, Canada
CAD 105K-125K Senior-level Full Time
Tasks
- Apply data quality controls
- Build Power BI semantic models
- Build end-to-end data pipelines
- Collaborate with stakeholders to define requirements
- Design canonical data models
- Develop Power BI reports and dashboards
- Enable self-serve analytics
- Ensure data quality and integrity
- Implement Lakehouse modeling
- Implement monitoring and observability
- Maintain documentation
- Modernize legacy T-SQL workloads
- Optimize PySpark pipelines
- Support CI/CD practices
Perks/Benefits
- Complimentary train tickets
- Dental insurance
- Health insurance
- Hybrid work
- Life insurance
- Long-term disability
- Paid sick leave
- Paid vacation
- RRSP match
- Short-term disability
- Vision insurance
Skills/Tech-stack
Azure SQL | CI/CD | DAX | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data mesh | Databricks | Dimensional Modeling | Entity Relationship Modeling | Entity relationship | Lakehouse | Medallion Architecture | Microsoft Fabric | Monitoring | Normalization | Observability | Power BI | Power BI Semantic Model | PySpark | Relationship Modeling | Semantic Model | Source Control | Spark | Structured validation | T-SQL
Education
N/A
Regions
Countries
States
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