Job Summary

We are looking for a skilled

Data & AI Engineer with strong experience in

Snowflake, SQL, Python, Cloud Technologies, and Generative AI tools

. The candidate will design and develop scalable data solutions, build data pipelines, and leverage AI tools such as

Claude and Microsoft Copilot to improve development, automation, and business processes.

Key Responsibilities

- Design, develop, and optimize data solutions using

Snowflake

.

- Develop complex SQL queries, stored procedures, views, and data models.

- Build scalable data processing, automation, and integration solutions using

Python

.

- Develop and maintain cloud-based data architectures with a focus on security, reliability, and performance.

- Build and support

ETL/ELT pipelines and data integration processes.

- Collaborate with business and technology teams to gather requirements and deliver data solutions.

- Use

Claude, Microsoft Copilot, and other AI tools to accelerate development, automation, and improve code quality.

- Implement data governance, data quality, security, and performance best practices.





- Troubleshoot data issues and continuously improve existing solutions.

- Stay current with emerging data engineering, cloud, and AI technologies.

Required Skills

- Strong experience with

Snowflake Data Warehouse

.

- Advanced

SQL skills.

- Strong

Python programming and scripting experience.

- Experience with

AWS, Azure, or Google Cloud

.

- Strong understanding of

Data Warehousing, ETL/ELT, Data Modeling, and Analytics

.

- Knowledge of

Generative AI, LLMs, and AI-assisted development tools

.

- Hands-on experience with tools such as

Claude and Microsoft Copilot

.

- Solid analytical, problem-solving, and communication skills.

- Experience working in an

Agile environment is preferred.

Good to Have

- Experience integrating AI capabilities into data engineering or business workflows.

- Knowledge of

Machine Learning, LLMs, and Prompt Engineering

.

- Snowflake, Cloud, or AI-related certifications are an asset.

📌 Data & AI Engineer (Montreal)
🏢 TEKGENCE
📍 Montreal