Data Engineer, Microsoft Fabric
Vancouver, British Columbia, Canada
CAD 105K-125K Mid-level Full Time
Tasks
- Build and maintain Spark and PySpark pipelines using medallion architecture
- Build and operate batch and streaming data pipelines using Microsoft Fabric Lakehouse
- Design and maintain Power BI semantic models
- Design and maintain canonical data models for analytics and reporting
- Develop and optimize KQL queries functions and update policies
- Document and improve data engineering standards
- Implement data governance using Microsoft Purview
- Modernize T SQL stored procedures into Spark based solutions
- Monitor data pipelines and ensure data quality reliability and performance
- Translate requirements into scalable data solutions
Perks/Benefits
- Employee travel emergency assistance
- Health and wellness benefits
- Hybrid work schedule
- Life insurance
- Long-term disability
- Medical, dental & vision coverage
- RRSP match
- Short-term disability
- Sick time
- Vacation time
Skills/Tech-stack
Access Control | Data Catalog | Data Classification | Data Governance | Data Lineage | Data Modeling | Data Quality | Data mesh | Delta Lake | Dimensional Modeling | Direct Lake | Enterprise Data | Enterprise Data Modeling | KQL | Kusto Query | Kusto Query Language | Lakehouse | Medallion Architecture | Microsoft Fabric | Microsoft Purview | Normalized Data | Normalized data modeling | OneLake | Power BI | Power BI Direct Lake | Power BI DirectQuery | PySpark | Query Language | Real Time | Real-time intelligence | Role-Based Access | Role-Based Access Control | SQL | Spark | Spark SQL | T-SQL | Time intelligence
Education
N/A
Roles
Regions
Countries
States
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