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CUPE Local 3902 (Unit 3) Job Posting Sessional Lecturer Position Posting Date: May 2, 2025 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025
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aptitude including experience with many of the following: Unix/Linux, Windows, virtualization, back-up, networking, open-source software, cloud computing, databases, fileservers, data storage. Other: A
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management systems (RDBMS, NoSQL, etc.) and data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake, Databricks). Familiarity with cloud computing platforms (e.g. AWS, Azure, GCP) and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 21 days ago
quality control techniques for printing and production using Adobe Creative Cloud software on Apple computers. No prior experience with computer technology is required, as this course will prepare students
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Qualifications: Bachelor's Degree in computer science or acceptable equivalent of education and experience. Minimum five years relevant experience in full stack application development; Java experience is required
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, supporting end-user computing, classroom technology, network, operating systems, hardware and software, as well as current and emerging technology solutions. In this role, you will serve as a first point of
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, you will play a crucial role in advancing the university's data strategy. You will be responsible for designing and developing robust data pipelines, data marts, and reporting solutions using cloud
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paralegal, legal clerical, or legal administrative environment is highly valued. Skills: Proficiency with MS Office365, scheduling, e-mail and cloud based software; typing speed of 70 w.p.m. Familiarity with
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: Proficiency with MS Office365, scheduling, e-mail and cloud based software; typing speed of 70 w.p.m. Familiarity with web search and research tools; effective problem solving skills. Familiarity with iManage
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warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake, Databricks). Familiarity with cloud computing platforms (e.g. AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes