Build Azure data solutions at CIBC while shaping digital transformation through Python, PySpark, and scalable data engineering. Toronto-based work arrangements are discussed during interviews.

As a Senior Cloud Data Engineer, you will design, develop, and maintain scalable cloud data solutions. You will use Azure Data Factory, Azure Databricks, and Power BI for pipelines and analytics. The work includes large datasets, SAS, data modeling, testing, and data mesh architecture.

Key Responsibilities:

- Design and develop scalable cloud data solutions
- Build and optimize data pipelines and analytics solutions
- Coordinate complicated application programming activities
- Develop multi-year technology roadmaps aligned with bank goals
- Support data mesh architecture within cloud infrastructure

Requirements:

- At least five years of experience
- Experience with Azure Data Factory and Azure Databricks
- Proficiency in Python, PySpark, and SAS
- Knowledge of sound data modeling principles
- Ability to create unit test cases

Bring Azure, Python, PySpark, and data modeling expertise to CIBC’s enterprise-scale cloud engineering initiatives in Toronto.

📌 Senior Cloud Data Engineer Azure (Toronto)
🏢 CIBC
📍 Toronto