Remote Senior Data Engineer, Java
theScore
πRemote - Canada
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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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