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 app. The ideal candidate has a passion for data, a strong background in computer science with recent experience as a data engineer or software engineer. An interest in professional sports, betting and / or eSports is a plus.
About the Work
As a key member of our Data Engineering team you will :
- 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
- Other duties as required.
About You
A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design6+ years of experience in data engineering or software engineeringStrong knowledge of Java, Java frameworks (Springboot or Quarkus), Design Patterns and Domain Driven DesignPassionate about clean code architecture and software craftsmanship.Have built distributed systems to solve complex problems over very large datasetsExperience with Kafka, Pub / Sub, or some other streaming platformStrong knowledge of tools like Airflow to orchestrate data pipelinesFamiliarity with Docker and KubernetesExperience with at least one major cloud platform (AWS, GCP, Azure)Strong organization and collaboration skillsExcellent written and oral communications skills.Nice to have : Knowledge of Python, GO, Reactive programmingWhat We Offer
Competitive compensation packageFun, relaxed work environmentEducation and conference reimbursements.Parental leave top upOpportunities for career progression and mentoring othersLI-Hybrid
LI-Remote
Candidates residing in Ontario requiring special accommodation can email