Remote Data Engineer, Services
theScore
πRemote - Canada
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Job highlights
Summary
Join theScore Data Engineering team as a key member to collaborate with teams to build data pipelines and infrastructure, design and maintain data pipelines, and contribute to the enhancement of the data engineering architecture.
Requirements
- 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 or Java
- Strong knowledge of relational databases and SQL
- Experience with Docker and Kubernetes
- Experience with streaming technologies, such as Kafka, Spark, Flink and Beam
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience with BigQuery, Redshift or other SQL-based data warehouses
- Experience with at least one major cloud platform (GCP, AWS, Azure)
- Experience with testing frameworks such as Pytest, PyUnit, Junit, Mockito
- Experience with RESTful API development
- Strong organization and collaboration skills
- Excellent written and oral communications skills
Responsibilities
- Collaborate with Data Science, Reporting, Analytics and other 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
- Maintain streaming pipelines that ingest near-real time data
- Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
Benefits
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements
- Parental leave top up
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