Job Description

Role Overview:
Reporting to the Manager, Data Engineering, the Senior Data Engineer is responsible for designing, maintaining, and delivering scalable, high-performance data solutions that empower better, faster, and simpler decision-making across the organization. This role ensures data is reliable, accessible, and optimized for advanced analytics while driving innovation in data infrastructure. As a technical leader, the Senior Data Engineer will mentor team members, lead complex deployments, and collaborate with cross-functional partners to deliver impactful results aligned with our strategic goals. Duties & Responsibilities:
Data Solutions & Pipelines:
Lead the development, optimization, and maintenance of data pipelines from multiple sources while building and enhancing database business logic, including stored procedures, triggers, and functions, to support efficient ETL/ELT processes for analytics and operations
Infrastructure & Cloud:
Manage modern data warehouses across AWS, Azure, and Snowflake while maintaining and enhancing AWS serverless pipelines--leveraging tools like Step Functions, Fargate, Lambda, SAM, and API integrations--with strong troubleshooting and debugging expertise.
DevOps & Automation:
You own the CI/CD deployment processes for Databricks jobs, serverless pipelines, and database scripts, while driving automation through tools such as Docker and Jenkins.
Advanced Analytics Enablement:
Develop and optimize pipelines to support ML models, simulations, and predictive analytics.
Governance & Documentation:
Ensure data governance best practices are applied to maintain quality, security, and compliance, while also producing comprehensive documentation that supports both developers and business users.
Leadership & Collaboration:
Mentor data engineers to strengthen their skills and foster collaboration, while partnering with analytics, IT, and business teams to ensure solutions align with strategic objectives. Experience & Qualifications:
Education & Experience

• Bachelor's in Computer Science, Software Engineering, Data Science, or related field.
• 6-8 years of data engineering experience with leadership in scalable solution delivery.

Technical Skills (Must-Have)
SQL Expertise -- advanced stored procedures, triggers, functions, business logic in Snowflake, AWS RDS, or Azure SQL. * ETL Tools -- Alteryx, Databricks, or equivalent.

• Programming -- Python or MySQL.
• Cloud & Serverless -- AWS, Azure, Snowflake, Step Functions, Fargate, Lambda, SAM, API integration.
• DevOps -- Own CI/CD for data workloads; experience with Docker/Jenkins.
• Visualization -- Tableau or Power BI.

Additional Skills
Experience supporting ML and predictive analytics pipelines. * Strong communication and problem-solving skills.

• Proactive learner, adaptable to emerging technologies.
• Bilingual
• Proficiency in both written and verbal English communication is essential for effective correspondence with clients, suppliers, business partners, and colleagues beyond the province of Quebec.

Additional Details for This Role:

• Hybrid Work Setting - The flexibility to work remotely or in the office enhances work-life balance and strengthens our sense of Brother Community and Team Spirit.

#LI-Hybrid #atyourside

Skills Required