Data Science Developer Senior
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Summary:
The Senior Data Science Developer will participate in product teams to analyze system requirements architect design code and implement cloud-based data and analytics products. This role involves designing and maintaining data lake and lakehouse structures automated data pipelines and analytics models. The developer will also support the migration of legacy data pipelines to modernized Databricks-based solutions and contribute to the development of standards and reusable frameworks.
The Senior Data Science Developer will participate in product teams to analyze system requirements architect design code and implement cloud-based data and analytics products. This role involves designing and maintaining data lake and lakehouse structures automated data pipelines and analytics models. The developer will also support the migration of legacy data pipelines to modernized Databricks-based solutions and contribute to the development of standards and reusable frameworks.
Location:Toronto Ontario Canada
Responsibilities:
- Participate in product teams to analyze systems requirements architect design code and implement cloud-based data and analytics products.
- 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.
- 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.
- 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 and enforce development standards.
- Participate in product teams to analyze systems requirements architect design code and implement cloud-based data and analytics products.
- 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.
- 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.
- 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 and enforce development standards.
Required Skills & Certifications:
- 5 years experience in an Azure environment.
- 5 years experience in Data engineering with ADF and Databricks.
- 5 years experience in Programming with Python and SQL.
- Experience in multiple cloud-based data and analytics platforms and coding/programming/scripting tools.
- Experience with designing creating and maintaining cloud-based data lake and lakehouse structures automated data pipelines analytics models.
- Strong background in building and orchestrating data pipelines using services like Azure Data Factory and Databricks.
- Demonstrated ability to organize and manage data in a lakehouse following medallion architecture.
- Proficient in using Python and SQL for data engineering and analytics development.
- Familiar with CI/CD practices and tools for automating deployment of data solutions and managing code lifecycle.
- Comfortable conducting and participating in peer code reviews in GitHub.
- Experience in assessing client information technology needs and objectives.
- Experience in problem-solving to resolve complex multi-component failures.
- Experience in preparing knowledge transfer documentation and conducting knowledge transfer.
- Experience working on an Agile team.
- Public Sector Experience
- 5 years experience in an Azure environment.
- 5 years experience in Data engineering with ADF and Databricks.
- 5 years experience in Programming with Python and SQL.
- Experience in multiple cloud-based data and analytics platforms and coding/programming/scripting tools.
- Experience with designing creating and maintaining cloud-based data lake and lakehouse structures automated data pipelines analytics models.
- Strong background in building and orchestrating data pipelines using services like Azure Data Factory and Databricks.
- Demonstrated ability to organize and manage data in a lakehouse following medallion architecture.
- Proficient in using Python and SQL for data engineering and analytics development.
- Familiar with CI/CD practices and tools for automating deployment of data solutions and managing code lifecycle.
- Comfortable conducting and participating in peer code reviews in GitHub.
- Experience in assessing client information technology needs and objectives.
- Experience in problem-solving to resolve complex multi-component failures.
- Experience in preparing knowledge transfer documentation and conducting knowledge transfer.
- Experience working on an Agile team.
- Public Sector Experience
Preferred Skills & Certifications:
Special Considerations:
Scheduling:
Key Skills
- Accounting Software
- Access Control System
- B2C
- Banqueting
- Jewellery
- Linux Administration
