Elevate your career as a Data Engineering Consultant specializing in Databricks and Spark/Python. Collaborate on cutting-edge data solutions across multiple platforms in both French and English. We are seeking a qualified with at least five years of experience in data engineering for analytical platforms, particularly with Databricks.

You will design and maintain data loading libraries, develop transformations, and ensure data quality across various teams. This role enables you to translate business needs into analytical data specifications while fostering collaboration and sharing best practices. Key Responsibilities:

- Develop data transformations in Databricks environments
- Design efficient data loading libraries using Spark/Python
- Implement data quality validation best practices
- Collaborate with teams for platform consistency
- Conduct knowledge transfers and share best practices Requirements:
- Minimum five years in Spark/Python development
- Five years in data engineering for analytics
- Over four years’ experience with Databricks
- Mastery of Azure Data Lake
- Fluent in French and English, both written and verbal Support modern cloud solutions as a Data Engineering Consultant, working across Azure and Databricks.

📌 Data Engineering Consultant with Databricks (Montreal)
🏢 COFOMO
📍 Montreal