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Software Engineer, Streaming PlatformPenn InteractiveToronto, Ontario, Canada

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Software Engineer, Streaming Platform

Penn Interactive
  • CA
    Toronto, Ontario, Canada
  • CA
    Toronto, Ontario, Canada

Über

About the Role & Team
As part of the Data Services team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. You'll work hand in hand with Data Science, Marketing, and Compliance teams to develop and maintain streaming data pipelines & internally developed tools to improve workflows and automate processes. The ideal candidate has a passion for data, a strong background in data engineering, database management & computer science. An interest in professional sports, betting and/or eSports is a plus.

About the Work
Collaborate with marketing, product, and engineering teams to build data pipelines, infrastructure and tooling to support business initiatives

  • Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
  • Collaborate with the team to meet performance, scalability, and reliability goals
  • Write out tests and thorough documentation for processes and tooling
  • Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
  • Maintain and expand existing systems, tooling and infrastructure
  • Develop and maintain streaming pipelines that ingest near-real time data for teams across the enterprise
  • Take ownership of projects, plan and collaborate with other members of the engineering teams or others within the company
  • Provide on-call support for workloads critical to the organization
  • Other duties as required

About You

  • A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
  • 5 years of experience in data or software engineering
  • Strong knowledge of Python
  • Strong knowledge of relational databases and SQL
  • Strong knowledge of streaming technologies, such as Kafka, Spark, Flink and Beam
  • Experience with Docker and Kubernetes
  • Experience building out a scalable infrastructure to fit the needs of a growing company
  • Experience with Google Cloud Platform
  • Experience with testing frameworks such as Pytest
  • Strong organization and collaboration skills
  • Excellent written and oral communication skills

What We Offer

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

#LI-Remote

  • Toronto, Ontario, Canada

Sprachkenntnisse

  • English
Hinweis für Nutzer

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