REQUIRED SKILLS AND EXPERIENCE

• Minimum 5+ years hands-on experience in Microsoft Azure cloud environment focused on data engineering and analytics.
• Extensive experience designing, building, and maintaining cloud-based data lake and lakehouse architectures.
• Strong expertise in creating and orchestrating automated data pipelines using Azure Data Factory (ADF) and Databricks.
• Proven ability to implement medallion architecture for lakehouse data organization and handling.
• Familiarity with Databricks Unity Catalog or similar governance frameworks is a strong plus.
• Proficient in Python and SQL for data engineering, analytics development, and scripting.
• Practical experience with CI/CD principles and tools for automating deployment and lifecycle management of data solutions.
• Comfortable with GitHub workflows for version control and peer review in collaborative projects.
• Demonstrated ability to understand client technology needs and translate them into robust technical solutions.
• Skilled at troubleshooting and resolving complex, multi-faceted data system failures.
• Experience preparing documentation, performing knowledge transfer, and training colleagues.
• Prior experience working in Agile software development teams.

DESIRABLE SKILLS

• Strong written and verbal communication skills to actively contribute to meetings, create technical documentation, present findings, and promote best practices.
• Effective interpersonal skills for explaining the pros and cons of technical alternatives and collaborating with diverse stakeholders.

MUST-HAVE QUALIFICATIONS

• 5+ years experience in Azure cloud data engineering environments.
• 5+ years experience with Azure Data Factory and Databricks for data pipeline development.
• 5+ years programming experience with Python and SQL.
  Job Types: Full-time, Fixed term contract
  Contract length: 130 days
  Work Location: Hybrid remote in Toronto, ON M5V 2X4
  Application deadline: 2025-07-29
  Expected start date: 2025-08-1

ABOUT THE ROLE:

We are seeking a highly skilled Senior Data Science Developer to join our dynamic product teams. The ideal candidate will possess deep expertise in designing, developing, and maintaining cloud-based data and analytics solutions in Microsoft Azure environments, including modern data lakehouse architectures. You will work closely with IT and business stakeholders to deliver scalable, high-quality data pipelines and analytics models that drive business insights.

RESPONSIBILITIES

• Collaborate within cross-functional product teams to analyze system requirements, architect, design, develop, test, and deploy cloud-based data and analytics products adhering to organizational standards.
• Design, implement, and maintain scalable cloud-native data lake and lakehouse architectures, automated data pipelines, and analytics solutions.
• Liaise with cluster IT teams to implement data solutions, conduct system/code reviews, troubleshoot and resolve operational issues.
• Analyze complex technical challenges, evaluate alternatives, and recommend optimal solutions to improve data platform capabilities.
• Drive migration of legacy data pipelines from Azure Synapse Analytics and Azure Data Factory—including stored procedures, views, and Parquet files in Azure Data Lake Storage (ADLS)—to modern Databricks-based solutions using Delta Lake and native orchestration tools.
• Develop and promote reusable frameworks and standards to streamline data pipeline development and ensure consistent quality.
• Participate actively in peer code reviews, enforce coding best practices, and conduct knowledge transfer sessions to enhance team capabilities and facilitate smooth project handoffs.