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    Data Engineer, Architecture - Old Toronto, Canada - theScore

    theScore
    theScore Old Toronto, Canada

    3 weeks ago

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    Description

    About the Role & Team

    As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, ML Engineers, and Data Scientists determined to develop high-quality data products that power core features of our platform. The ideal candidate has a passion for data, a strong background in computer science with recent experience as a data engineer, software engineer, or machine learning engineer. An interest in professional sports, betting, and/or eSports is a plus.

    About the Work

    1. Develop event-driven distributed systems that process large amounts of data and integrate with downstream back end services
    2. Build streaming data pipelines
    3. Work with data science to build best-in-class SDLC and MLops processes
    4. Deploy and orchestrate data science models
    5. Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data platform
    6. Collaborate with the team to define, track, and meet SLOs
    7. Maintain and expand existing systems, tooling, and infrastructure

    About You

    • A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms, and software design
    • 3+ years of experience in data engineering, machine learning, or software engineering
    • Strong knowledge of Python and at least 1 compiled language like Java, Go, or Elixir
    • Have built distributed systems to solve complex problems over very large datasets
    • Experience with Kafka, Pub/Sub, or some other streaming platform
    • Strong knowledge of tools like Airflow to orchestrate data pipelines
    • Familiarity with Docker and Kubernetes
    • Strong knowledge of relational databases and SQL
    • Some experience setting up CI/CD pipelines for Machine Learning projects. Skilled in testing and validating code, data, data schemas, and models
    • Experience with at least one major cloud platform (AWS, GCP, Azure)
    • Strong organization and collaboration skills
    • Excellent written and oral communications skills.

    What We Offer

    • Competitive compensation package
    • Fun, relaxed work environment
    • Education and conference reimbursements
    • Parental leave top-up
    • Opportunities for career progression and mentoring others

    Candidates residing in Ontario requiring special accommodation can email


    #J-18808-Ljbffr


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