Designing productive dimensional models (star and snowflake schemas) for warehousing and analytics
Ensuring data quality, security, and governance.
Experience and technical knowledge of Microsoft tabular models and DAX
Experience as a Data Analyst, Data Engineer or in a similar role.
Experience using Git, cooperative workflows, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation) to deploy and migrate data solutions.
Experience with development for dashboards and reports
Experience with manipulating and extracting data from diverse on-premises and cloud-based sources.
Experience with SSIS, Azure Data Factory (ADF), and using APIs for extracting and integrating data across multiple platforms and applications.
Duration - Experience working with Power BI
Performing migrations across on-premises, cloud, and cross-database settings.
Experience leading custom software application development projects following a formal project life cycle methodology.
Experience with databases and data integration, including PostgreSQL, MongoDB, Azure Cosmos DB, Azure Synapse, and Talend.
Experience with the GOA IT infrastructure, business direction, strategies, shared service initiatives and/or applications
Exposure to AI/ML tools and workflows relevant to data engineering, such as integrating AI-driven analytics or automation within cloud platforms like Databricks and Azure.
📌 Data Engineer Senior Edmonton
🏢 Recutify
📍 Edmonton
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