Job Description
Advance your career as a Senior Data Engineer at the University of Toronto. This pivotal role emphasizes optimizing data pipelines and creating systems that fuel AI-driven research.
You will report directly to the Executive Director of the Acceleration Consortium and work to enhance data integrity across various research databases. This position focuses on the development of ETL/ELT systems while analyzing complex software architecture. The role is grant-based for two years, with opportunities for renewal pending funding.
Key Responsibilities:
• Analyze and optimize complex database architectures
• Develop and maintain data quality control procedures
• Lead the planning and execution of IT projects
• Recommend solutions for technical challenges
• Collaborate on non-supervisory job-related tasks
Requirements:
• Master’s Degree preferred in relevant fields
• 5 years of experience with ETL/ELT processes
• Experience with data pipeline tools like Apache Air...
You will report directly to the Executive Director of the Acceleration Consortium and work to enhance data integrity across various research databases. This position focuses on the development of ETL/ELT systems while analyzing complex software architecture. The role is grant-based for two years, with opportunities for renewal pending funding.
Key Responsibilities:
• Analyze and optimize complex database architectures
• Develop and maintain data quality control procedures
• Lead the planning and execution of IT projects
• Recommend solutions for technical challenges
• Collaborate on non-supervisory job-related tasks
Requirements:
• Master’s Degree preferred in relevant fields
• 5 years of experience with ETL/ELT processes
• Experience with data pipeline tools like Apache Air...