Senior Data Engineer, Sports Modeling

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Score Media and Gaming Inc.

Toronto

CAD 80,000 - 120,000

Be among the first applicants.

7 days ago

Job description

About the Role & Team

As part of the theScore Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Software Engineers, MLE, 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 the Data Science team and other teams to develop and maintain data pipelines & internally developed tools to improve workflows and automate processes wherever possible. 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

As a key member of our Data Engineering team you will:

Collaborate with Data Science 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
Other duties as required

About You

A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
7+ 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, Argo workflows
Experience with Docker and Kubernetes
Experience building out a scalable infrastructure to fit the needs of a growing company
Experience with BigQuery, GCP 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
NICE TO HAVE: Experience working with Data Scientists or deploying machine learning models

What We Offer

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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