Lead, Data Engineer
Mississauga, ON, CAN - 2300 Meadowvale Blvd (MC74), Canada
CAD 122K-162K Senior-level Full Time
Tasks
- Define solution design and influence architectural decisions
- Design and build batch and real-time data pipelines
- Drive automation first reusable data engineering patterns
- Ensure data product quality reliability performance maintainability
- Establish engineering standards best practices
- Lead end-to-end data engineering delivery
- Lead technical debt identification and remediation
- Mentor data engineers through design and code reviews
- Oversee testing production readiness and observability
- Partner with stakeholders to translate requirements into scalable solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Kafka | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | Confluent Kafka | DBT | Data Engineering | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Processing | Data Quality | Databricks | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | Infrastructure as Code | Machine Learning | Metadata | Observability | Power BI | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Snowflake | Tableau | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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