IT Specialist, Enterprise Applications - Data Engineering Professional – Analytics
Head Office - Canadian Division (35), Canada
CAD 102K-133K Mid-level Full Time
Tasks
- Build data pipelines and ingestion solutions
- Coach mentor teams on Microsoft Fabric best practices
- Create test strategies for data validation and performance
- Define governance and operational health for Microsoft Fabric
- Design analytics data models
- Develop dimensional models using star schema
- Develop lakehouse and semantic models
- Estimate work effort for analytics initiatives
- Lead design workshops and document outcomes
- Maintain CI CD and source control workflows
- Monitor pipelines data refreshes and workloads
- Optimize SQL Spark and DAX queries
- Orchestrate data workflows
- Oversee deployment upgrades migrations and capacity planning
- Support scalable secure analytics solutions
- Troubleshoot and resolve production incidents
Perks/Benefits
- Discounts on company products
- Employee assistance program
- Employee share ownership plan
- Employer sponsored group insurance
- Flexible work environment
- Floater days
- Paid parental leave
- Paid time off
- RRSP TFSA contribution opportunity
- Retirement plan with employer contribution
- Sick days
- Telemedicine
- Training and development programs
- Volunteer day off
Skills/Tech-stack
Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Capacity Planning | DAX | Data Factory | Data Governance | Data Ingestion | Data Lake Storage | Data Security | Data Transformation | Data Validation | Data Warehousing | Data integration | Data orchestration | Data profiling | DevOps | Dimensional Modeling | GitHub | KQL | Kimball | Lakehouse | Microsoft Fabric | One Lake | One Lake Security | Performance Tuning | Power BI | PySpark | SQL | SQL Security | Source Control | Spark SQL | Star Schema | Synapse Analytics
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