• Lead, mentor, and develop engineers across both the Data Operations and Analytics Engineering teams • Contribute to a culture of clear goals, open feedback, and continuous growth across the team. • Promote collaboration and accountability while driving high standards for quality, efficiency, and continuous improvement. • Lead incident management and resolution for pipeline failures, cluster issues, and data quality problems, driving thorough root cause analysis and preventative improvements • Define and enforce operational standards, runbooks, and on-call practices for the team • Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met • Oversee the design, development, and maintenance of data models and transformations that serve business intelligence and analytics use cases • Define and enforce analytics engineering best practices including modular transformation patterns, data testing, and code review standards • Partner with data analysts and business stakeholders to understand modeling requirements and ensure data is accurate, accessible, and well-understood

Senior Data Engineer- Healthcare Interoperability We are seeking an experienced Senior Data Engineer to join our healthcare technology team with a primary focus on healthcare interoperability. This role will be instrumental in designing, building, and maintaining our Azure-based data infrastructure, including databases, data pipelines, analytics platforms, and business intelligence solutions — with an emphasis on integrating with Electronic Health Record (EHR) systems and healthcare data exchange standards (FHIR, C-CDA, HL7). The ideal candidate will have deep expertise in the Microsoft data stack, strong architectural thinking, and experience with healthcare data compliance requirements. This senior-level position will also provide technical leadership, mentorship to the broader engineering team and reports to the Director of Data Engineering. Duties & Responsibilities: - Design and implement scalable, secure data architectures on Azure to support business intelligence, analytics, and operational systems - Build and maintain data pipelines using Azure Data Factory, Azure Synapse and related services - Contribute to database designs across multiple platforms (Azure SQL Database, SQL Managed Instance, PostgreSQL, CosmosDB) - Optimize data storage strategies across Azure Blob Storage, Data Lake, and structured databases - Design data models and structures that enable efficient analytics and reporting - Design, develop, and maintain complex stored procedures, functions, triggers, and views - Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures - Perform database performance tuning, indexing strategies, and query optimization - Ensure data integrity, security, and compliance with HIPAA/HITRUST requirements for PHI data - Manage database lifecycle across development, pre-production, and production environments utilizing RedGate Flyway - Design and implement ETL/ELT processes to integrate data from multiple sources - Build event-driven data processing solutions including message producers, consumers, and workers using Azure Service Bus, Event Grid, and related messaging services - Integrate with external REST APIs for data ingestion and develop internal data APIs using Python (FastAPI/Flask) on Azure Container Apps or Functions - Develop data transformation logic and orchestration workflows - Ensure data quality, consistency, and lineage across the data platform - Integrate with Azure AI services and machine learning endpoints as needed - Review designs of Power BI solutions including semantic models, reports, & dashboards - Collaborate with stakeholders to translate business requirements into technical solutions - Optimize data structures for reporting and analytics performance - Provide technical guidance and mentorship to junior developers and engineers - Contribute to data engineering best practices, standards, and patterns - Participate in architecture reviews and technical decision-making - Collaborate with DevOps and Infrastructure teams on platform improvements - Drive continuous improvement in data quality, performance, and reliability - Create and maintain comprehensive technical documentation including data dictionaries, architecture diagrams, and process flows - Document data lineage, transformation logic, and business rules - Ensure all data handling practices meet HIPAA/HITRUST compliance requirements - Maintain audit trails and documentation for compliance purposes - Troubleshoot and resolve complex data-related issues across the platform - Provide escalation support for production incidents - Collaborate with cross-functional teams to support business operations - Participate in on-call rotation as needed Preferred: - Build and maintain integrations with EHR systems using FHIR resources (e.g., Patient, DocumentReference) and C-CDA document parsing/transformation - Support HL7 v2/MDM/ADT message flows where needed, including message parsing and acknowledgment handling - Define and maintain OpenAPI specifications and API versioning; write contract tests to prevent breaking changes - Lead the document templating framework and server-side rendering pipeline for HTML-to-PDF output; ensure accessibility and compliance requirements Experience & Qualifications: Required: - Bachelor’s degree in computer science, Information Systems, Data Engineering, or related field, or equivalent work experience - 6+ years of experience in data engineering, database development, or related roles - Expert-level proficiency in T-SQL and Microsoft SQL Server - Expert-level proficiency of Python - Experience building REST APIs and background workers in Python (FastAPI/Flask) - Understanding of event-driven architectures and asynchronous processing patterns - Strong experience with Azure data services (Azure SQL, Data Factory, Synapse, Blob Storage, etc.) - Hands-on experience building and maintaining data pipelines and ETL/ELT processes - Knowledge of Power BI development skills including DAX, data modeling, and performance optimization - Solid understanding of database design principles, normalization, and data modeling - Experience with version control systems (Git) and CI/CD practices - Strong analytical and problem-solving abilities with attention to detail - Excellent written and verbal communication skills - Ability to work both independently and collaboratively in a team environment - Microsoft certification (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst) - Knowledge of Infrastructure as Code (Terraform, Bicep, ARM templates) - Knowledge of additional Azure services (Container Apps, Functions, Logic Apps) - Experience with other database platforms (PostgreSQL, CosmosDB) - Understanding of HIPAA/HITRUST compliance requirements for healthcare data - Experience PowerShell for automation and scripting - Experience with Azure DevOps or similar platforms for CI/CD - Experience with data governance, cataloging, and metadata management - Background in healthcare technology or regulated industries - Experience with OpenAPI/Swagger specification design and contract testing - Proficient in advanced usage of AI development tooling (e.g., Claude Code, GitHub Copilot) - Azure API Management and private networking patterns - Travel up to 15%. Preferred: - Practical experience with FHIR (resources, search parameters, OAuth2/SMART on FHIR) and C-CDA parsing/transformation - Experience integrating with Epic, Cerner, Athena, or other EHR/EMR systems - Experience with HL7 v2 (MLLP/MDM/ADT) message handling Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, & activities may change at any time with or without notice.

Job Description REQUIREMENTS - 3+YOE in Data Engineering and working with GCP, GCP Big Query - Knowledge on Data warehouse - Experienc working with Data forms - Excellent data engineering skills including expert SQL, data modeling, and query optimization - Strong experience with big data stack (Spark, PySpark, Hadoop, HIVE, BigQuery, Pub/Sub) in building scalable ETL pipelines - Excellent programming skills (Python) including production level coding techniques (testing, OOP structures, optimization, etc) - Data visualization and dashboarding experience - Great at debugging, troubleshooting, designing, and implementing solutions to complex technical issues - Aptitude to independently learn new technologies, prototype, and propose solutions - Advanced English level RESPONSIBILITIES - Design a cloud-based data warehouse using BigQuery to support analytical workloads. Define fact and dimension tables, apply appropriate partitioning and clustering strategies, and document the data model. - Build a scalable ETL pipeline using PySpark on GCP that ingests raw data, applies transformations, and writes curated data to BigQuery. Implement error handling, logging, unit tests, and modular OOP-based code. - Design and implement a real-time data ingestion solution using Pub/Sub and Dataflow to process streaming events and store aggregated results in BigQuery. - Use Dataform to build, version, and manage SQL-based transformations in BigQuery. Define dependencies, apply data quality assertions, and automate pipeline execution. - Create a dashboard using BigQuery as the data source (e.g., Looker or Looker Studio). Optimize queries for performance and explain metrics, KPIs, and design decisions to stakeholders. About Capgemini Group Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. What you will love about working with us: - At Capgemini we’re always looking ahead. - We reimagine possibilities, and we innovate with technology to bring ideas to life. - We encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. - They partner with their managers to find an arrangement that works best for their role and their circumstances. - We offer game-changing programs to accelerate the growth of our people and the development of their expertise. What you need to know about what we offer: - Excellent compensation and benefits - Career path, trainings and real growth opportunities - Engaging and challenging projects. - Excellent work environment and culture. - Open and Effective management. - Highly professional and collaborative teams. At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Posting Reason: New Position Location: Main Campus Academic Period: 2026 Spring-Summer Semester Faculty: Faculté des sciences sociales / Faculty of Social Sciences Academic Unit: École de psychologie \\ School of Psychology Course Title: The Psychology of Adolescence Course Code: PSY3105 Section: E00 Course Description: Physical, emotional, social, moral and intellectual development of the adolescent. Problems in the development of personal, social and sexual maturity. Current research in the psychology of adolescence. Course Component: Lecture Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/04/16 Applications must be received BEFORE (YYYY/MM/DD): 2026/04/23 Expected Enrolment: 147 Approval date: 2026/04/16 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: Passive Course Schedule: Mardi | Tuesday 13:00-16:00 Jeudi | Thursday 13:00-16:00 - This course is offered online. Requirements: Ph.D. in Psychology / Advanced knowledge of the course content area 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.