Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Date Posted: 05/24/2024 Req ID: 37470 Faculty/Division: Ofc of the Chief Information Officer Department: Enterprise Apps&Solutions Integration Campus: St. George (Downtown Toronto) Position Number: 00056416 Description: About us: The Enterprise Applications and Solutions Integration (EASI) department within the Chief Information Officer’s (CIO) Division is a central department responsible for all matters pertaining to the development, maintenance and effectiveness of the core administrative management and student systems at the U of T. Included within these responsibilities are all central SAP systems, such as Financial Services, Human Resources, Research Administration and Procurement; the central U of T Student System (ROSI); approximately 40 related vendor and specialized web applications, as well as central Business Intelligence and Document Management applications. Your opportunity: Under the general direction of the Executive Director, Enterprise Applications&Solutions Integration or their designate, you will be part of a dynamic, collaborative and innovative team focused on delivering transformational technology solutions to the University. Through your efforts in this position, you will directly help improve the University’s administrative management and student systems. Your responsibilities will include: Reconciling business requirements with information architecture needs for highly complex system integration Conducting data modelling for business system analysis Analyzing and configuring highly complex enterprise applications and services Analyzing, troubleshooting and testing highly complex systems Designing, testing, and modifying programming code Essential Qualifications: Bachelor's Degree or acceptable combination of equivalent experience. Five years or more in a similar role 5+ years developing SQL queries and optimizing queries for performance. 3+ years using Azure Data Factory and developing data pipelines for data integration 3+ years of concrete programming and scripting language experience (e.g. Python, Java) Practical experience using data visualization and business intelligence tools (e.g., Power BI) to analyze data Data warehouse and data lake architecture principles Data ETL pipelines for large-scale transformations, conversion and partitioning Techniques for detecting and addressing data quality issues In-depthworking experience using Azure Cloud services including Azure Data Lake, Azure Databricks and Azure Synapse Analytics Ability to communicate highly technical and complex security concepts effectively across all levels of the organization (both ITand business) Business information requirement analysis experience with a strong understanding of project management principles Solid experience with data privacy and security practices, metadata management, data governance and access controls within an enterprise data management framework Assets (Nonessential): Azure Certified Solutions Architect Professional certification and/or other Azure professional certifications To be successful in this role you will be: Articulate Cooperative Motivated self-learner Resourceful Team player NOTE : This is a 1 year-term position Closing Date: 06/10/2024, 11:59PM ET Employee Group: USW Appointment Type : Budget - Term Schedule: Full-Time Pay Scale Group&Hiring Zone: USW Pay Band 18 -- $112,241 with an annual step progression to a maximum of $143,537. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol. Job Category: Information Technology (IT) Recruiter: Khristen Sivaramalingam Lived Experience Statement Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP . Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca . Job Segment: Database, ERP, Business Intelligence, Data Management, Data Warehouse, Technology, Data #J-18808-Ljbffr