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 effective 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 contemporary cloud solutions as a Data Engineering Consultant, working across Azure and Databricks.

📌 Data Engineering Consultant With Databricks Montreal
🏢 COFOMO
📍 Montreal