Data & AI Engineer / Developer || Montreal, QC - Hybrid || Fulltime FTE

Data & AI Engineer / Developer

Location: Montreal, QC
Work Model: Hybrid
Employment Type: Full-Time (FTE)

Description du poste

Expérience requise

• 8+ years of experience in Data Engineering, Cloud Data Platforms, and AI-enabled Development
• Strong hands-on expertise with Snowflake, SQL, Python, and Cloud technologies
• Experience building scalable data pipelines, ETL/ELT processes, and cloud-native data solutions
• Practical experience using Generative AI tools such as Claude and Microsoft Copilot to improve software development and automation

Responsabilités clés

• Design, develop, and optimize enterprise data solutions using Snowflake as the primary cloud data platform.
• Develop and maintain complex SQL queries, stored procedures, views, and data models to support analytics and reporting.
• Build scalable ETL/ELT pipelines, data integration, and automation solutions using Python.
• Design secure, reliable, and high-performance cloud-based data architectures.
• Collaborate with business stakeholders, data teams, and application developers to deliver data-driven solutions.
• Leverage Claude, Microsoft Copilot, and other AI tools to accelerate development, automate workflows, improve code quality, and enhance productivity.
• Implement best practices for data governance, data quality, security, and performance optimization.
• Troubleshoot production issues, optimize existing data solutions, and continuously improve platform performance.
• Evaluate emerging cloud, data engineering, and AI technologies to drive innovation.

Compétences techniques requises

• Snowflake Data Warehouse
• Advanced SQL
• Python
• ETL / ELT Development
• Data Engineering
• Data Modeling
• Data Warehousing
• Data Integration
• API Integration
• Cloud Platforms (AWS, Azure, or Google Cloud Platform)
• Data Pipeline Development
• Data Governance
• Data Quality
• Performance Optimization

Compétences en IA & IA générative

• Claude AI
• Microsoft Copilot
• Generative AI
• AI-Assisted Software Development
• Prompt Engineering
• LLM Fundamentals
• Workflow Automation using AI
• Knowledge Management with AI Tools

Qualifications préférées

• Experience integrating AI capabilities into enterprise data engineering workflows
• Knowledge of Machine Learning, Large Language Models (LLMs), and AI-driven automation
• Snowflake Certification
• AWS, Azure, or GCP Cloud Certifications
• AI/Generative AI certifications are a plus
• Experience working in Agile/Scrum environments

Compétences clés

• Data Engineering & Cloud Architecture
• Snowflake Development
• AI-Enabled Software Development
• Data Pipeline & ETL/ELT Design
• Cloud Data Solutions
• Automation & Innovation
• Problem Solving & Analytical Thinking
• Cross-Functional Collaboration
• Excellent Communication Skills