We are looking for an experienced Senior Data Engineer to join a long-term project with one of our clients in Montreal, QC.
📍 Location: Montreal, QC – Hybrid
🏢 Onsite Requirement: 3 days per week mandatory
📝 Duration: 12 Months
🎥 Interview Process: Initial video interview followed by a mandatory in-person interview
🔑 What We're Looking For
We're seeking a hands-on Data Engineer with strong experience designing, developing, and optimizing modern data platforms, particularly within Snowflake, Databricks, and AI-driven data environments.
Required Experience:
🔹 Snowflake: 5+ years of hands-on experience, including virtual data warehouse configuration and optimization
🔹 Strong knowledge of Snowflake data modeling and data architecture
🔹 Proven experience integrating semi-structured and unstructured data into Snowflake environments
🔹 Strong understanding and practical experience working with REST APIs
🔹 Talend: 5+ years of hands-on ETL/data integration experience
🔹 Advanced SQL and PL/SQL skills
🔹 Experience developing and working with Power BI Semantic Models
🔹 Working knowledge of Microsoft Azure and cloud-based data platforms
🔹 Experience with Databricks and modern data engineering practices
🔹 Exposure to AI/ML data pipelines and integration
🔹 Experience working with financial reporting or financial services data
⭐ Ideal Candidate
We're looking for someone who can work independently, collaborate with technical and business teams, and take ownership of data engineering initiatives from requirements and design through development, testing, deployment, and support.
If you have strong Snowflake + Databricks + Talend experience and enjoy working on modern data platforms, we'd love to connect!
