Azure Data Engineer & AI Scientist

Source Code; Toronto; On-site; CAD 95,000 - 113,000; Full time

Job summary

Source Code is seeking a Data Science Developer to build and automate cloud-based data pipelines and analytics infrastructure in Toronto. The role combines data engineering and data science to enable AI-enabled analytics, forecasting, and scenario analysis.

You will design data lakelakehouse structures, automate ETL, and develop dashboards and predictive models while collaborating with IT and clinical partners. This six-month contract may extend based on performance.

Qualifications

• Experience with cloud data and analytics products and cross-functional teams.
• Design and implement cloud data lake / Lakehouse architectures and pipelines.
• Strong Azure data stack knowledge and visualization skills.

Responsibilities

• Analyze requirements and architect cloud-based data/analytics products.
• Create and maintain data lake/lakehouse structures and automated pipelines.
• Develop analytics models and visualizations (dashboards/reports).
• Coordinate with IT and business partners to deploy solutions.
• Document methods and transfer knowledge to PHO staff.

Skills

Cloud analytics strategy

Team leadership

Problem solving

Tools

Azure Storage

Azure Data Lake

Azure Databricks Lakehouse

Azure Synapse

Power BI

Python

SQL

Azure Data Factory

Job description

Source Code is seeking a Data Science Developer to build and automate cloud-based data pipelines and analytics infrastructure in Toronto. The role combines data engineering and data science to enable AI-enabled analytics, forecasting, and scenario analysis.

You will design data lakelakehouse structures, automate ETL, and develop dashboards and predictive models while collaborating with IT and clinical partners. This six-month contract may extend based on performance.