Sr Data Engineering Developer
Guelph, Ontario, Canada; Toronto, Ontario, Canada; Burlington, Ontario, Canada; Mississauga, Ontario, Canada
R
CAD 83K-133K (estimate) Senior-level Full Time
Tasks
- Build and optimize data pipelines
- Collaborate with business and technology stakeholders to deliver business value
- Configure CI CD pipelines and automate data solution deployments
- Design data products and enterprise data solutions
- Design physical and logical data models
- Develop ETL and data warehousing solutions
- Develop data pipelines APIs and analytics solutions
- Enforce security requirements for data platforms and environments
- Execute data extraction cleansing reconciliation and quality assessment
- Guide junior team members and share knowledge
- Implement performance monitoring and alerting for data solutions
- Implement semantic layer for visualization
- Manage infrastructure deployments through code
Perks/Benefits
- Dental coverage
- Disability coverage
- Employee assistance program
- Flexible work options
- Health and wellness programs
- Hybrid work
- Life Coverage
- Mental health support
- Paid time off
- Paid volunteer days
- Pension
- Retirement savings plan
- Training and development
Skills/Tech-stack
Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Purview | Azure Synapse | Azure Synapse Analytics | Azure Synapse SQL | CI/CD | Concurrent programming | Data Lake Storage | Data Layer | Data Modeling | Data Pipeline Monitoring | Data Warehousing | Data pipeline | Databricks | ETL | GitHub | Infrastructure as Code | Object-Oriented | Object-oriented programming | OpenAI API | Pandas | Pipeline monitoring | Polars | PySpark | Python | REST APIs | SQL | Semantic Data Layer | Semantic data | Semantic layer | Synapse Analytics | Synapse SQL | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
Regions
Countries
States
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