Data Engineer
Toronto, ON, CA, M5H4B6
CAD 96K-136K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Create technical design documentation
- Design data pipelines
- Develop ETL and ELT processes
- Implement data quality and observability
- Ingest and transform data
- Manage data governance and access control
- Optimize pipeline performance and reliability
- Perform root cause analysis
- Support production data pipelines
- Test and deploy data pipelines
- Validate and reconcile data
Perks/Benefits
- Competitive rewards program
- Employee resource groups
- Flexible vacation
- Personal days
- Sick days
- Tuition assistance
- Upskilling through online courses
Skills/Tech-stack
Agile | Apache Spark | Automated testing | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | CI/CD | DBT | Data Factory | Data Lake Storage | Databricks | Delta Lake | Deployment Automation | ELT | ETL | GitHub | Infrastructure as Code | Java | Python | SQL | Scala | Scrum | Shell Scripting | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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