DATA SCIENCE DEVELOPER - SENIOR:

On behalf of our transit sector client, Procom is searching for a Data Science Developer - Senior for a long-term role. This position is a hybrid position with 2 days onsite at our client’s Toronto office.

DATA SCIENCE DEVELOPER - SENIOR - JOB DESCRIPTION:

This role involves working on a critical project focused on the migration and modernization of data pipelines. The candidate will be involved in upgrading existing platforms and developing new cloud-based data engineering solutions using Azure and Databricks.

DATA SCIENCE DEVELOPER - SENIOR - MANDATORY SKILLS:

• 5+ years experience in Azure environment
• 5+ years experience in data engineering with Azure Data Factory and Databricks
• 5+ years programming experience with Python and SQL
• Experience in multiple cloud-based data and analytics platforms
• Strong background in building and orchestrating data pipelines using services like Azure Data Factory and Databricks

DATA SCIENCE DEVELOPER - SENIOR – NICE-TO-HAVE SKILLS:

• Background with Databricks Unity Catalog for governance
• Familiar with CI/CD practices and tools
• Experience in preparing knowledge transfer documentation
• Experience working on an Agile team
• Public sector experience preferred

• 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 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 promote team knowledge sharing