The role leads the development and architecture of data pipelines, models, and automation across data sources. It works in agile teams and collaborates across business and technology partners to deliver resilient, reliable, and governed data infrastructure.

Pipeline Development: Design and develop scalable ELT/ETL pipelines using cloud-native tools.

Data Modeling: Implement dimensional models and integrate data sources for BI/reporting.

Security & Quality: Apply data security best practices and quality checks across the pipeline.

Performance Optimization: Build CI/CD pipelines, reusable modules, and automation scripts. Cross-Functional Collaboration: Work with analysts, architects, and other developers to deliver cohesive data solutions.

Agile Execution: Lead user story delivery and actively participate in sprint planning and retrospectives.

Support and Monitoring: Provide Tier 2 support and monitor pipeline health proactively. 6-8+ years experience in Data Development , with solid proficiency in SQL, Python, Spark, and Azure Services . ~ Experience designing and developing scalable ETL pipelines on Azure using cloud-native tools. ~ Successful completion of a four-year university education in Computer Science, Software Engineering, or another related discipline.

Data Developer Location: Oshawa,



3 days/week onsite The role leads the development and architecture of data pipelines, models, and automation across data sources. It works in agile teams and collaborates across business and technology partners to deliver resilient, reliable, and governed data infrastructure.

Pipeline Development: Design and develop scalable ELT/ETL pipelines using cloud-native tools.

Data Modeling: Implement dimensional models and integrate data sources for BI/reporting.

Security & Quality: Apply data security best practices and quality checks across the pipeline.

Performance Optimization: Build CI/CD pipelines, reusable modules, and automation scripts. Cross-Functional Collaboration: Work with analysts, architects, and other developers to deliver cohesive data solutions.

Agile Execution: Lead user story delivery and actively participate in sprint planning and retrospectives.

Support and Monitoring: Provide Tier 2 support and monitor pipeline health proactively. 6-8+ years experience in Data Development , with strong proficiency in SQL, Python, Spark, and Azure Services . ~ Experience designing and developing scalable ETL pipelines on Azure using cloud-native tools. ~ Successful completion of a four-year university education in Computer Science, Software Engineering, or another related discipline. AI may be used in evaluating candidates.

📌 Sr. Data Developer - ID: 26-091 (Toronto)
🏢 S.i. Systems
📍 Toronto