Elevate your career with CGL as a Senior Data Engineering Developer in a hybrid work model. Engage in data optimization and ETL process management while collaborating in team-driven environments.
CGL is a leader in Canadian financial services, seeking a Senior Data Engineering Developer to enhance data product reliability and performance. With responsibilities ranging from autonomous decision-making to mentoring junior colleagues, your skills in data extraction and model creation are crucial. This role emphasizes the use of up-to-date tools such as SQL, Azure, and data visualization techniques.
Key Responsibilities:
• Develop and optimize complex data products autonomously
• Execute data extraction, quality assessment, and cleaning




• Create and interpret physical and logical data models
• Set up CI/CD pipelines using DevOps platforms
• Implement performance optimizations of data solutions
Requirements:
• Degree in Computer Science or related field
• 3-5 years of experience in a data-adjacent role
• 3+ years in data engineering with modern platforms
• Advanced knowledge of ETL processes and data modeling
• Proficiency in Azure tools including ADLS and Databricks
Utilize your data engineering expertise to drive significant business value and outcomes at CGL.
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📌 Senior Data Engineering Developer Hybrid (Toronto)
🏢 Co-operators
📍 Toronto