Remote Senior Data Engineer, Java

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theScore

πŸ“Remote - Canada

Job highlights

Summary

Join theScore's Data Engineering team as a key member to develop event-driven distributed systems, build internal tools and libraries, and collaborate with data science and engineering teams.

Requirements

  • A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
  • 6+ years of experience in data engineering or software engineering
  • Strong knowledge of Java, Java frameworks (Springboot or Quarkus), Design Patterns and Domain Driven Design
  • Passionate about clean code architecture and software craftsmanship
  • 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
  • Experience with at least one major cloud platform (AWS, GCP, Azure)
  • Strong organization and collaboration skills
  • Excellent written and oral communications skills

Responsibilities

  • Develop event-driven distributed systems that process large amounts of data and integrate with downstream back end services
  • Build internal tools and libraries to help accelerate other backend teams
  • Build streaming data pipelines
  • Work with data science and data engineering teams to build best-in-class SDLC processes
  • Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data platform
  • Collaborate with the team to define, track, and meet SLOs
  • Maintain and expand existing systems, tooling and infrastructure

Benefits

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

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