Data Engineer
Cambridge, Ontario, Canada; Toronto, Ontario, Canada
CAD 64K-114K Mid-level Full Time
Tasks
- Automate data operations and pipeline monitoring
- Build and maintain enterprise data assets
- Design and implement data processes
- Implement data governance and data lineage
- Implement data quality and monitoring frameworks
- Maintain CI/CD pipelines
- Optimize data pipelines for performance
- Test data accuracy and completeness
- Validate data flow across components
Perks/Benefits
- Disability insurance
- Extended health and dental benefits
- Paid time off
- Perk programs
- Recognition programs
- Retirement plan matching
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure DevOps | Azure Event | Azure Event Hubs | Azure Key Vault | Azure OpenAI | Azure Storage | Azure Web | Azure Web Apps | CI/CD | DBT | Data Factory | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Databricks | Dataform | Dimensional Modeling | Event Hubs | Feature Engineering | Git | Key Vault | Langchain | Llamaindex | MLOps | MLflow | Medallion Architecture | Metadata Management | Prompt engineering | Python | RAG | SQL | Snowflake Schema | Spark SQL | Star Schema | Test-Driven | Test-Driven Development | Web Apps | YAML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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