Shape the future of data engineering with CGL as a Data Engineering Lead. You'll design and build data products in a hybrid work environment 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
• Solid 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.
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📌 Data Engineering Lead at CGL (Ontario)
🏢 Co-operators
📍 Ontario
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