Développeur Big Data à Montréal pour des projets structurants. Optimisation des traitements de données, collaboration avec équipes QA et développement de solutions logicielles.
Responsibilities
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.
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