Principal - Data Engineer, Wealth Management
Toronto, ON, CA, M5H1H1
CAD 94K-176K (estimate) Senior-level Full Time
Tasks
- Architect scalable ingestion and transformation pipelines
- Build feature stores and data models
- Define data engineering vision
- Design and implement data and AI pipelines
- Drive architectural roadmap
- Ensure secure compliant data platforms
- Establish data governance frameworks
- Integrate data across cloud platforms
- Mentor engineering teams
Perks/Benefits
- Accessibility accommodations
- Employee resource groups
- Flexible vacation
- Hackathons
- Personal days
- Sick days
- Team collaboration space
- Tuition assistance
- Upskilling courses
Skills/Tech-stack
API Architecture | Azure | Batch Processing | BigQuery | Cloud infrastructure | Cloud platform | Data Cataloging | Data Engineering | Data Governance | Data Lineage | Data Pipelines | Data Processing | Data Quality | Databricks | Event Based | Event-based architecture | Feature Store | Google Cloud | Google Cloud Platform | Hybrid data pipelines | Integration Architecture | Java | Machine Learning | Microservices | Real Time | Real-time Data | Real-time Data Processing | Retrieval-Augmented Generation | Scalability | Security Compliance
Education
N/A
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