Full Stack Data Engineer (Analytics + ETL + Reporting)
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 86K-136K (estimate) Mid-level Full Time
Tasks
- Build automated data extracts and feeds
- Deliver outbound data via SFTP or APIs or MFT
- Design and maintain ETL or ELT pipelines
- Develop operational and regulatory reports
- Document feeds mappings data definitions and technical specifications
- Gather and translate reporting requirements
- Implement data validation and reconciliation controls
- Maintain data lineage and audit readiness
- Manage scheduling monitoring and alerting for pipelines
- Optimize extraction logic for performance
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Hybrid work schedule
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
APIs | Azure Data | Azure Data Factory | Azure Event | Azure Event Hub | CI/CD | CSV | Crystal Reports | Data Factory | Data Governance | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data Warehousing | DevOps | ELT | ETL | Event Hub | Git | Informatica | JSON | Kafka | MFT | Metadata Management | Orchestration | Power BI | REST APIs | SAP SAC | SFTP | SQL | SSRS | Scheduling | TSV | Tableau | Three Normal Form | XML
Education
Bachelor of Engineering | Bachelor of Science | Software Engineering
Roles
Data Engineer | Engineer | Full Stack | Full Stack Data Engineer
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