Azure Developer

Position Description

This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 2 days per week – subject to change at any time.

• Lead the end-to-end conversion of Informatica code to Databricks.
• Utilize the EDH tool for data handling and management during the migration process.
• Ensure smooth and high-quality code migration, aligning the conversion process with the organization’s technical standards and business needs.
• Train and optimize the AI tools used for code conversion to maximize their effectiveness for future projects.
• Conduct code reviews to ensure that the converted code meets all performance, scalability, and functional standards before it is handed over to the Application Development (AD) team.
• Own the quality assurance process, identifying and troubleshooting any issues that arise during the code migration.
• Provide technical leadership and direction to the team, ensuring best practices are followed throughout the migration.
• Collaborate with stakeholders to ensure all data-related issues are addressed, and that the solution complies with data governance policies.

• Strong experience in Azure Functions, Azure Data Factory, Azure SQL, Azure Key Vault.
• Strong experience in Azure Databricks, Azure Databricks Notebooks, Azure Data Lake, Azure Data Lake Storage.
• Working experience in migration and modernization projects.
• Experience in building data pipelines and analysis tools using Python, PySpark, Scala, SQL.
• Proficient in integrating, transforming, and consolidating data from various structured and unstructured data.
• Knowledge of Autosys jobs, Batch scripts.
• Experience with Agile methodology, Azure Dev Ops (CI/CD Pipeline).
• Knowledge of Streaming platforms (Kafka, Solace queue), Azure App Services, Azure Stream Analytics, Power BI.
• Strong communication skills.
• Ability to work independently and effectively within a team.
• Design and implement storage solutions using Azure services such as Azure SQL and Azure Data Lake Storage.
• Design and implement ETL using ADF data pipelines to move and transform data from various sources into cloud-based data warehouses.
• Implement business solution using Azure Databricks.
• Align with Dev Ops strategy to promote code into Production.
• Participate in solutioning and delivery optimization (identifying/creating reusable Databricks components).
• Participate in and define steps to transform requirements into implementation plan.

• Apache Spark
• Application Design
• Application Development
• Dev Ops
• Financial Services
• Object Oriented Programming
• Python
• SQL
• Systems Analysis
• Technical Analysis
• Waterfall Model
• Web Application Development

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal‑opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.