Data Engineer, Microsoft Fabric
Vancouver, British Columbia, Canada
CAD 105K-125K Mid-level Full Time
Tasks
- Apply data governance with Microsoft Purview including cataloguing and lineage
- Build and maintain Spark and PySpark pipelines using Delta Lake
- Build and operate batch and streaming data pipelines
- Collaborate with architects and stakeholders to translate requirements into scalable solutions
- Design and maintain Power BI semantic models
- Design and maintain canonical data models for analytics and reporting
- Develop and optimize KQL queries and materialized views
- Document data engineering standards and drive continuous improvement
- Modernize T SQL stored procedures into Spark based solutions
- Monitor data pipelines and ensure data quality reliability and performance
Perks/Benefits
- Long-term disability
- Medical/dental/vision/life insurance
- RRSP match
- Short-term disability
- Sick time
- TSFA match
- Travel emergency assistance
- Two complimentary annual train tickets
- Vacation time
Skills/Tech-stack
Data Governance | Data Lineage | Data Modelling | Data Quality | Data mesh | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modelling | Direct Lake | DirectQuery | KQL | Kusto Query | Kusto Query Language | Lakehouse | Materialized View | Medallion Architecture | Microsoft Fabric | Microsoft Purview | Normalized Modelling | Power BI | Power BI Semantic Model | PySpark | Query Language | Real Time | Real-time intelligence | SQL | Semantic Model | Spark | Spark SQL | T-SQL | Time intelligence
Education
N/A
Roles
Regions
Countries
States
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