The Data Scientist role involves participating in product teams to analyze system requirements, design, code, and implement cloud-based data and analytics products. The role focuses on creating and maintaining data lake and lakehouse structures, automated data pipelines, and analytics models, with a strong emphasis on migrating legacy data pipelines to modernized Databricks-based solutions. The Data Scientist will also contribute to developing standards and reusable frameworks for streamlined pipeline creation, participating in code reviews, and providing knowledge transfer.
Location: Toronto, Ontario, Canada,
Responsibilities:
- Participate in product teams to analyze systems requirements, architect, design, code, and implement cloud-based data and analytics products that conform to standards.
- Design, create, and maintain cloud-based data lake and lakehouse structures, automated data pipelines, and analytics models.
- Liaise with IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in effective use of cloud-based data and analytics products.
- Analyze complex technical issues, identify alternatives, and recommend solutions.
- Support the migration of legacy data pipelines from Azure Synapse Analytics and Azure Data Factory to modernized Databricks-based solutions leveraging Delta Lake and native orchestration capabilities.
- Support the development of standards and a reusable framework that streamlines pipeline creation.
- Participate in code reviews and prepare/conduct knowledge transfer to maintain code quality, promote team knowledge sharing, and enforce development standards across collaborative data projects.
Required Skills & Certifications:
Preferred Skills & Certifications:
Special Considerations:
Scheduling:
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