Schedule: Hybrid, 3 days onsite per week (Tuesday and Wednesday required, third day flexible)

What you'll be working on:

- Building and enhancing ETL pipelines for large-scale data processing
- Supporting a major data platform modernization and migration initiative
- Developing a centralized data lake and common data layer
- Working with Snowflake, Snowpipe, Spark, and AWS technologies
- Designing scalable solutions supporting global, multi-region deployments and compliance requirements
- Contributing to bronze, silver, and gold data architecture models
- Helping enable analytics and AI-driven intelligence across multiple business platforms

Required Skills:

- 5+ years of Data Engineering experience
- Strong Snowflake experience (highest priority)
- Experience with Snowpipe and/or Apache Spark

Preferred Skills:

- MySQL
- SQL Server
- Experience with AI tools, automation, or AI-assisted development workflows

This is a great chance to join a team modernizing legacy data platforms and building next-generation data capabilities from the ground up. The environment is highly focused on scalability, cloud technologies, and enabling advanced analytics and AI initiatives.

📌 Data Engineer (Montreal)
🏢 Insight Global
📍 Montreal