Shape the future of data engineering with CGL as a Data Engineering Lead. You'll design and build data products in a hybrid work workplace that supports cloud architecture and automation. This role requires deep expertise in data platforms and products, with 8-10 years of experience in data engineering.

Key skills involve building scalable solutions using Azure, alongside hands-on proficiency in Terraform, Python, and PySpark. You'll also lead the implementation of security measures to ensure data compliance and effective governance. Key Responsibilities:

- Lead the design and implementation of cloud architecture
- Develop CI/CD pipelines for data engineering
- Implement security throughout development lifecycles
- Build data pipelines according to medallion architecture
- Coordinate security updates with delivery teams Requirements:
- 8-10 years of data engineering experience
- 5+ years of coding experience in Terraform and Python
- Expertise in Azure PaaS services
- Strong project management and communication skills
- Proficiency in English; French is an asset Utilize your expertise in data products and platforms to make a significant impact at CGL.

📌 Data Engineering Lead at CGL (Toronto)
🏢 Co-operators
📍 Toronto