The Azure Data Engineer is a technical leader in our Data & Analytics commercial data engineering team. Responsibilities include the design, build, optimization, and maintenance of experiments, prototypes, and products across the organization's Microsoft Azure’s Data Platform.
The incumbent will use modern and innovative technology to help business partners realize actionable insights and value from the enterprise data platforms. This includes but is not limited to the design and build of data extraction, transformation, and loading processes by developing custom data pipelines.
The Data Engineer will be valued member of an internal Data Engineering team/capability working together to define requirements, use cases and outcomes. As a member of the Data team, the Data Engineer will build, configure, secure, migrate, optimize, and refactor Azure data platform solutions which includes Ingestion, ETL/ELT, Storage, Data Lakes, Delta Lakes, Data Warehouses, Lakehouse and Data Modelling
The Data Engineer will be capable of working with all levels of the organization with an ability to understand and translate institutional knowledge into technical solutions. Strong service, communication and problem-solving skills are key.
Key Requirements:
2-3 years of Data Engineering, Visualization and Analytics experience within Azure environments, Power BI or similar platforms and AI/ML projects and implementations.
University or higher degree in Engineering, Mathematics, Information Systems, Computer Science, Technology
Candidate has successfully completed Azure Fundamentals and Azure Data Engineer Certifications
Experience and knowledge in:
Microsoft Azure Environment + Toolsets including ADLA, ADF, Synapse, Data Bricks, AAS, Cosmos DB, FunctionApps, Logic Apps
SQL scripting
Skilled in core data warehousing platforms
Programming skills in Python, Scala etc.
Microsoft Power BI delivery and support
Microsoft Power Suite delivery and support
Azure AI/ML skills and delivery.
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Data Engineer • Toronto, Ontario, Canada
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