Hybrid Big Data Developer – Data Platform

Posted 4 weeks ago

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About the role

  • Design, develop and integrate software solutions tailored to business needs based on specifications provided by stakeholders.
  • Implement code using languages suited to the Big Data context, notably PySpark.
  • Perform rigorous unit testing to ensure code quality.
  • Work closely with quality assurance analysts to validate code robustness through regression testing.
  • Maintain existing code: bug fixes, updates and performance optimization.
  • Participate in peer code reviews.
  • Contribute to the continuous improvement of CI/CD pipelines and adherence to development standards.

Requirements

  • Minimum of 6 to 10 years of relevant software development experience.
  • College diploma or bachelor’s degree in Computer Science, Software Engineering or a related field.
  • Strong knowledge of programming best practices (clean code, modularity, etc.).
  • Experience with version control systems, notably Git.
  • Deep familiarity with collaborative development environments: code reviews, continuous integration, automated testing.
  • Familiarity with Agile methodologies and scaling frameworks such as SAFe.
  • Essential technical skills: PySpark, Git, Docker, SQL, Cloud computing.

Benefits

  • 6 days per month on-site in Montreal (including 2 days at the Old Port every 8 weeks for PI Planning as part of SAFe).

Job title

Big Data Developer – Data Platform

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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