CA$478K – CA$478KEntryPart Time
Posting Reason:
New PositionLocation:
Main CampusAcademic Period:
2026 Fall SemesterFaculty:
Faculté de génie / Faculty of EngineeringAcademic Unit:
École de conception et d’innovation pédagogique en génie \\ School of Engineering Design and Teaching InnovationCourse Title:
Advanced Data Analytics (On Line)Course Code:
MEM6287Section:
ACourse Description:
Fundamentals of Big Data as well as big database management (NoSQL) with applications in engineering and management. Review of the supporting technologies. AI concepts for advanced analytics with applications in engineering and management.Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/05/15Applications must be received BEFORE (YYYY/MM/DD):
2026/06/16Expected Enrolment:
30Approval date:
2026/05/15Number of credits:
3Work Hours:
39Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
BPosting type:
Irrégulier / IrregularLanguage of instruction:
Anglais | EnglishCompetence in second language:
ActiveCourse Schedule:
Mardi | Tuesday 19:00-22:00 - -Requirements:
Bachelor's degree in business or engineering required, Master's in management or engineering preferred, PhD an asset, solid industry track record in professional and managerial role(s) related to technology project initiation & development required. Experience as CTO or higher ranking role in engineering management in a technical/technological firm is strongly preferred
Experience in post-secondary teaching and/or professional development instruction preferred. Knowledge of the following tools is essential to the delivery of the course:
• In-depth understanding of Big Data Analytics, associated technologies, and use-cases.
• In-depth knowledge of common NoSQL database systems such as MongoDB, Cassandra, Kafka, Redis, etc.
• Deep understanding of Big Data Analytics tools especially Hadoop and Spark.
• Hands-on knowledge of Spark libraries and languages such as PySpark, Scala, and SQL.
• Working Knowledge of DataBricks Community Edition.
• Knowledge of Big Data Analytics implementations by cloud providers, especially MS Azure. Understanding of Azure Big Data landscape and tools such as Event Hubs, Azure Data Factory (ADF), Azure Data Lake Sore, Azure Data Lake Analytics, Azure Blob Storage, and PowerBI.
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.