Ontario Agency for Health Protection and Promotion
661 University Ave, Toronto, ON M5G 1M1
Must Haves Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create, maintain, support, and operate cloud-based data and analytics products.
Experience designing, creating, and maintaining cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, medallion architecture, and visualizations (dashboards and reporting) in real-world implementations.
Deep experience with contemporary technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
Experience assessing client information-technology needs and objectives.
Experience problem-solving to resolve complex, multi-component failures.
NOTE: We are looking for the same candidate to cover both data engineering/data pipeline work and data science specialist work.
Location: Hybrid – 2 days onsite
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