Data-Driven Software Developer

3 weeks ago

Montreal, Quebec, Canada IVADO Labs Full time
Job Summary

We are seeking a highly skilled Software Data Engineer to join our team at IVADO Labs. As a key member of our agile project team, you will work closely with our data scientists and engineers to design, develop, and deploy complex data pipelines and machine learning models.

Key Responsibilities
  • Design and Develop Data Pipelines: Create, build, and deploy complex data pipelines to extract insights from large datasets.
  • Develop Data Ingestion Modules: Design and implement data ingestion modules to feed machine learning models.
  • Collaborate with Data Scientists: Work with data scientists to develop and deploy machine learning models.
  • Stay Up-to-Date with Industry Trends: Continuously learn and stay current with the latest advancements in data science and machine learning.
  • Ensure Scalability and Maintainability: Design and implement scalable and maintainable data solutions.
  • Participate in Agile Project Meetings: Collaborate with the project team to plan and execute projects.
  • Estimate Project Scope: Estimate project scope and timelines based on acceptance criteria.
  • Refactor and Test Code: Continuously refactor and test code to ensure quality and efficiency.
  • Design and Implement Data Architecture: Design and implement data architecture to support data-driven decision making.
Requirements
  • Minimum Qualifications
    • Bachelor's degree in a related field (computer science, software engineering, data science, mathematics).
    • 3+ years of experience in software development (post-graduation).
    • Full-stack developer with expertise in multiple tools and platforms.
    • Proficiency in Python.
    • Experience with object-oriented design patterns.
  • Preferred Qualifications
    • 3+ years of experience in cloud-based development (e.g., GCP, AWS, Azure, DataBricks).
    • Experience with languages such as C++ and/or Java.
    • Experience with software projects or consulting.
    • Experience working with agile multidisciplinary teams.
  • Desirable Qualifications
    • Master's or Ph.D. degree.
    • Experience with big data (Hadoop, Spark, Hive).
    • Experience with operations research, machine learning, or neural networks.
    • Previous exposure to AI/data science concepts and ability to translate these concepts into efficient and high-quality production code.

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