Design, build, and maintain scalable and reliable ELT pipelines on Microsoft Azure Cloud Collaborate with architects, analysts, and client stakeholders to define technical requirements Lead or contribute to end-to-end implementation of data solutions in enterprise environments Assist in creating and maintaining technical documentation including Architecture Diagrams, Solution Documents, and other related project documentation Design, develop, and optimize complex Python and SQL queries Maintain orchestration workflows and ensure real-time and batch data processes meet performance expectations Design and Implement CI/CD What you must have: 7 to 10 years of solid technical experience in building and maintaining cloud data warehouses Must have previous experience with development in the Microsoft ecosystem (.

Net framework) and specifically in the Microsoft Azure and Power BI Experience working with Public Safety organizations is considered an asset.



7+ years of experience in designing and building scalable and efficient data pipelines with Microsoft Fabric or Azure technologies (Data Factory, Synapse Notebooks, Python, etc.) Expert in Python and SQL Hands-on working experience with SSIS Package Design and Development Solid background in data modelling (dimensional/star/snowflake schemas) and experience with BI tools like Power BI Ability to work cross-functionally and translate complex business requirements into scalable data solutions Experience with CI/CD for data pipelines and infrastructure-as-code tools (e.g., Terraform) Microsoft Azure Data Engineer Associate (DP-203) or equivalent.

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📌 Intermediate Data Engineer Toronto (Canada)
🏢 TEEMA
📍 Canada