Senior Data Engineer

3 weeks ago

Toronto, Canada theScore Full time

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, Analysts, 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 ML, Analytics, and Reporting 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, 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 the data warehouse ensuring data integrity and performance
  • Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
  • Other duties as required

About You

  • 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
  • Strong Knowledge of Airflow, Docker and Kubernetes
  • Strong knowledge of relational databases and SQL
  • Experience building out a scalable infrastructure to fit the needs of a growing company
  • Experience in data ingestion and processing including Third-Party APIs ( Appsflyer, Branch, Facebook etc.)
  • Experience with RedShift, Snowflake or other SQL-based data warehouses
  • Experience with at least one major cloud platform (AWS, GCP, Azure)
  • Experience with testing frameworks such as RSpec, Jest, pytest or equivalent
  • Strong organization and collaboration skills
  • Excellent written and oral communications skills.
  • NICE TO HAVE: Experience working with Data Scientists or deploying machine learning models
  • NICE TO HAVE: Experience developing frontend applications, using JavaScript and React

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

 

Candidates residing in Ontario requiring special accommodation can email

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