Data & AI Engineer / Developer || Montreal, QC - Hybrid || Fulltime FTE
Full-time
Acestack
Data & AI Engineer / Developer
Location: Montreal, QC
Work Model: Hybrid
Employment Type: Full-Time (FTE)
- 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
- 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.
- 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
- Claude AI
- Microsoft Copilot
- Generative AI
- AI-Assisted Software Development
- Prompt Engineering
- LLM Fundamentals
- Workflow Automation using AI
- Knowledge Management with AI Tools
- 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
- 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
Vacancy posted 1 day ago
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