Data Engineer
Summary
Build and maintain data pipelines using PySpark, Python, and cloud tools to ensure clean, reliable data for analytics and reporting.
Job Title: Data Engineer –85052
Job ID:89428
Location: Montreal, Quebec
What you will be doing:
Design, program, and implement software applications to meet specific user needs.
Ensure data quality, reliability, and integrity through validation, control, and process automation.
Extract, clean, and transform data from multiple systems.
Collaborate with QA Analysts to perform testing (including regression testing) and resolve bugs to ensure robust code.
Maintain existing code, deploy updates, and troubleshoot issues for internal/external clients.
Participate in peer code reviews to ensure quality and knowledge sharing.
What you must have:
Experience:6–10 years of relevant experience.
Data Modeling:Proficient in Star Schema and Slowly Changing Dimensions (SCD).
Technical Skills:
Intermediate level in PySpark/Spark and Python.
Strong familiarity with Data Flows.
Proficiency with Git and Docker.
Proficiency in FrenchUnderstanding of cloud environments (GCP or Azure preferred).
Development Practices:Knowledge of good programming practices, including unit testing, peer reviews, and CI/CD.
Methodologies:Experience with Agile and/or Scaled Agile Frameworks (SAFe).
- Power BI:Familiarity with Power BI (this is not a primary Power BI development role, but foundational knowledge is required).
- Proficiency in French, English
