Lead Data Engineer, Associate Director (Toronto)
Tasks
- Build scalable data workflows
- Collaborate with cross-functional teams
- Design data pipelines on Cloud platforms
- Develop containerized data applications
- Drive data platform modernization
- Establish CI/CD pipelines
- Implement data quality and governance processes
- Implement data solutions for relational and NoSQL databases
- Integrate AI and ML workflows into data pipelines
- Leverage AI agents and frameworks in data workflows
- Mentor data engineers
Perks/Benefits
- Healthcare benefits
- Hybrid work
- Inclusive environment
- Parental leave
- Retirement plans
- Training and mentorship
- Volunteer programs
Skills/Tech-stack
AI/ML | AI/ML frameworks | AWS | Apache Airflow | ArgoCD | Autogen | Confluence | Data Pipelines | Data Quality | Data orchestration | Databricks | Docker | EKS | EMR | GitHub | GitHub Actions | Glue | Java | Jira | Kinesis | Kubernetes | Lambda | Langchain | Llamaindex | ML frameworks | Model Context Protocol | MongoDB | PostgreSQL | Python | RDS | S3 | Snowflake
Education
Roles
Architect | Data Engineer | Data Platform | Data Platform Architect | Engineer | Lead | Lead Data | Lead Data Engineer | Platform Architect
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