Senior Data Engineering Developer

Co-operators • Quebec, QC

1d • CA$83,774 - CA$139,623 • Hybrid

About The Position

The Sr Data Engineering Developer is responsible for the development and optimization of data products, ensuring the reliability and performance of ETL processes. This role requires a high level of autonomy in managing complex data pipelines, the ability to collaborate with key partners, and to support junior team members while delivering high-quality data for analysis and decision-making. The Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team who are passionate about excellence, innovation, and agility.

Requirements

• You have a degree in Computer Science, Information Systems, or related field is required.
• 3-5 years of experience in Data-adjacent role.
• 3+ years of experience in data engineering with experience in building modern data platforms and data products.
• 3+ years of experience implementing data solutions. (Azure preferred).
• Advance knowledge of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
• Excellent project management skills with the ability to prioritize and manage multiple priorities simultaneously.
• Excellent verbal and written communication skills with experience presenting to large and small audiences.
• Proficiency in English.

Nice To Haves

• An advanced degree is an asset.
• Significant hands-on experience with the following Azure PaaS is an asset: Azure Data Lake Storage (ADLS), Azure Databricks, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse, Event Hub, API Management (APIM), Azure Key Vault, Azure SQL, and Purview.
• French is an asset.

Responsibilities

• Execute data extraction, cleaning, reconciliation and assess its characteristics, such as data quality.
• Create and interpret a physical and logical data model.
• Use data engineering tools for data querying (ex: SQL), data handling (ex: pySpark, stored procedures), data storage (ex: ADLS).
• Contribute to building data solutions (data pipelines, APIs and more).
• Bring data to visualization tools by implementing the semantic layer.
• Proactively apply performance optimizations and monitoring of data solutions, such as alerts.
• Proactively apply performance optimizations and monitoring of data solutions.
• Use DevOps platforms (ex: GitHub) and manage infrastructure deployments through code (ex: Terraform).
• Configure and use continuous integration and deployment (CI/CD) pipelines, and our infrastructure (ex: Databricks environments) to properly develop and deploy data solutions.
• Promote and comply with security requirements on the platforms and environments used by our data solutions.
• Deliver production ready code (ex: no technical debt, using proper frameworks).
• Identify opportunities to collaborate, innovate, and make data-driven decisions, with the ultimate goal of bringing value to the business.
• Partner with business and technology stakeholders to drive business value.

Benefits

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• Competitive salary and incentive programs.
• Comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior