APTPUO-Fall 2026 MEM6287A (online)

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculté de génie / Faculty of Engineering

Academic Unit:

École de conception et dinnovation pédagogique en génie School of Engineering Design and Teaching Innovation

Course Title:

Advanced Data Analytics (On Line)

Course Code:

MEM6287

Section:

A

Course 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 Professor

Date Posted (YYYY/MM/DD):

2026/05/15

Applications must be received BEFORE (YYYY/MM/DD):

2026/06/16

Expected Enrolment:

30

Approval date:

2026/05/15

Number of credits:

3

Work Hours:

39

Hourly 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:

B

Posting type:

Irrégulier / Irregular

Language of instruction:

Anglais English

Competence in second language:

Active

Course Schedule:

Mardi Tuesday 19:00-22:00 - -

Requirements:

Bachelors degree in business or engineering required Masters 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 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.