Role Name: Data Science Developer

Location: Toronto, ON (2-3days WFO)

Duration: 12 Months The Data Engineer / Data Science Specialist builds and automates the data foundation that the Engine and its initiatives rely on: cloud-based data pipelines, lake/Lakehouse structures, analytics models, and visualizations.

The role combines two functions. As a Data Engineer, it automates the data pipeline for analytic products and advanced analyses.

As a Data Science Specialist, it helps identify and prioritize use cases and integrate AI techniques (machine learning, NLP), increasing capacity for modelling, forecasting, and scenario analysis.

- 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 up-to-date technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.

It is both foundational capability/infrastructure work and HealthMap data ingestion

📌 Data Science Specialist (Toronto)
🏢 TEKGENCE
📍 Toronto