Senior Data Science Developer

• Data Science Developer - Senior
• Location: Toronto, ON

Onsite Flexibility: Hybrid — 3 days onsite (subject to hiring manager's discretion)

• Contract Details
• Position Type: Contract
• Contract Duration: 6 months
• Pay Rate: C$70.00–C$77.00 / Hour (CAD)
• Shift / Schedule: Days (1st shift)

• Job Summary
• This role is for a Senior Data Science Developer embedded within product teams to analyze systems requirements, architect, design, code, and implement cloud-based data and analytics products that conform to standards. The position supports the modernization of legacy data pipelines and the development of reusable frameworks within a collaborative, Agile environment.

• Key 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 cluster 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 (including stored procedures, views used by BI teams, and Parquet files in Azure Data Lake Storage (ADLS)) 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
• Experience in multiple cloud-based data and analytics platforms and coding/programming/scripting tools to create, maintain, support, and operate cloud-based data and analytics products, with a preference for Microsoft Azure
• Experience with designing, creating, and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, and analytics models in real-world implementations
• 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 to ensure quality, consistency, and best practices
• 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

• Preferred Skills
• Background with Databricks Unity Catalog for governance
• Written and oral communication skills to participate in team meetings, write/edit systems documentation, prepare and present written reports on findings/alternate solutions, and develop guidelines/best practices
• Interpersonal skills to explain and discuss advantages and disadvantages of various approaches

• Required Experience
• 5 years of experience in an Azure environment
• 5 years of experience in data engineering with Azure Data Factory (ADF) and Databricks
• 5 years of programming experience with Python and SQL

• Additional Skills
• Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Azure Databricks
• PowerBI
• GitHub

• About the Client
• This client is a sustainability-focused organization in the public transit sector, delivering integrated regional transportation services that enrich community prosperity across the Ontario region. The organization employs data engineers, analytics developers, cloud architects, and IT professionals who collaborate to modernize data infrastructure and drive evidence-based decision-making at scale.

• About GTT
• GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-08795 Industry: Software Engineering

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