Data Engineering Developer
Guelph, Ontario, Canada; Toronto, Ontario, Canada
CAD 69K-116K Mid-level Full Time
Tasks
- Automate deployments
- Create monitoring alerting runbooks
- Design data pipelines
- Develop ETL processes
- Implement backup and disaster recovery
- Implement infrastructure-as-code
- Improve resiliency with automation and self healing
- Manage technical debt and performance bottlenecks
- Monitor data platform health
- Optimize data products
- Perform root cause analysis
- Support incident, problem, and change management
Perks/Benefits
- Dental coverage
- Disability coverage
- Employee assistance program
- Flexible work options
- Group retirement savings plan
- Health and wellness benefits
- Life Coverage
- Mental health support
- Paid time off
- Paid volunteer days
- Pension
- Training and development
Skills/Tech-stack
API Management | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Key Vault | Azure Monitor | Azure Purview | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Cloud Security | Data Engineering | Data Factory | Data Lake Storage | Data Modeling | Data Warehousing | Data pipeline | DevOps | Disaster Recovery | Distributed Computing | ETL | Event Hub | GitHub | Infrastructure as Code | Key Vault | Microsoft Fabric | Networking | REST API | SQL Database | Synapse Analytics | Terraform | “as-code”
Education
N/A
Regions
Countries
States
Cities
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