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This job posting is available in French only due to the location of publication. Votre rôle, votre impact En tant que spécialiste en données, vous contribuerez directement à l’évolution et à la modernisation des plateformes de données d’entreprise. Vous jouerez un rôle essentiel dans la chaîne de valeur Data & AI en concevant, développant et optimisant des pipelines de données permettant d’alimenter les capacités analytiques de l’organisation. Vous évoluerez au sein de l’équipe Data Platforms & Tools, dans un contexte de transformation infonuagique, afin de rendre les données accessibles, fiables et exploitables pour les équipes d’affaires, d’analytique et de science des données. Our mission, your future As a global network of trusted advisors, we create cutting-edge technological solutions to overcome today’s challenges and anticipate tomorrow’s needs. It all starts with the collaboration of a diverse team of passionate innovators, each driven to make a difference. Together, we challenge the status quo and push each other to new heights. Ready to leave your mark on engaging mandates and shape the future through digital transformation and strategic consulting? Take your ambitions to the next level and discover your next exciting challenge with us! Our offer * Balance that works for you: Work-life balance helps us stay at our best. With flexible work options and our Unlimited Vacation Plan, you can rest and recharge when you need it most. * Support for your well-being: Our benefits are designed with optimal health and wellness in mind. You’ll have access to 24/7 virtual healthcare, as well as an extensive wellness portal that provides tools and resources to support your physical, mental, emotional and financial well-being. * Continuous growth and learning: Through partnerships with world-renowned education leaders, we provide access to thousands of top-rated online courses and certifications. With exclusive leadership programs and a tuition reimbursement program for external training, we set you up to achieve your ambitions. * Ownership with opportunity: Through our Employee Share Purchase Plan with matched contributions, you become a shareholder, directly benefiting from our collective achievements. Our commitments * Equal employment opportunity: Alithya is committed to providing an inclusive workplace through the implementation of an equal employment opportunity program. We encourage women, Indigenous peoples, visible and ethnic minorities, and persons with disabilities to apply. * An inclusive path to success: Fostering an environment where you can thrive starts with ensuring an accessible recruitment process. If you require any accommodations, we welcome you to contact us. For more information, please visit our accessibility page: https://www.alithya.com/en/accessibility [https://www.alithya.com/en/accessibility].

What you’ll do

You will design, develop, and optimize data pipelines to support the organization's analytics and AI capabilities. You will work within the Data Platforms & Tools team to ensure data is accessible, reliable, and actionable for business and science teams.

Requirements

Candidates must have at least 5 years of experience in data engineering and 4 years of experience with Azure Databricks. Proficiency in Python, Spark, PySpark, and SQL is required, along with experience in cloud-based data architectures and Agile methodologies.

Benefits

• Flexible work options • Unlimited vacation plan • 24/7 virtual healthcare • Wellness portal • Tuition reimbursement program • Employee share purchase plan

Listed skills

• SQL · Preferred
• CI/CD · Preferred
• Agile · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data engineering
• Azure Databricks
• Python
• Spark
• PySpark
• Azure Data Factory
• Azure Data Lake
• Azure DevOps
• CI/CD
• Data modeling
• Data warehousing
• SQL
• Cloud data architectures
• Agile
• Data governance
• Digital transformation
• Snowflake (Data Warehouse)
• Microsoft Fabric
• Digital Transformation
• Agile Methodology
• Artificial Intelligence
• Google BigQuery
• Consulting
• Data Engineering
• Data Governance
• Data Modeling
• Data Quality
• Data Warehousing
• Python (Programming Language)
• SQL (Programming Language)
• Data Pipelines

Job areas

• Data & Analytics
• Technology
• Software
• Consulting
• Engineering
• Data Engineer
• Software Developers
• Database Administrators