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 French
Understanding 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).
Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.
Data Engineer • Montreal, Quebec
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