Data Science Developer
Data Science Developer
Posted on :
29-08-2025
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1 Vacancy
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Job Description
Job Summary:
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.
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.
- 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:
Employment Type
Full-time
Key Skills
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