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Data Engineer (EU)

20 hours, 32 minutes ago
Europe
Full-time
Junior
Data Engineer
Software Development
Apache Airflow AWS CI/CD Git Kubernetes Machine Learning MySQL Python REST API Shell Scripting SQL
Apply Now
Swish Analytics

Swish Analytics

Swish Analytics offers algorithm-driven sports predictions tools for NFL, MLB, NBA, and NHL games on various platforms, helping users make smarter bets and optimize lineups for better results.

Internet Software & Services
1-10
Founded 2014
$2M raised
View All Jobs 5

Description

  • Support production systems and triage issues during live sporting events.
  • Architect low-latency, real-time analytics systems for raw data collection, feature development, and endpoint production.
  • Build new sports betting data products and prediction offerings.
  • Integrate large, complex real-time datasets into consumer and enterprise products.
  • Develop predictive analytics into enterprise-grade APIs.
  • Contribute to the design and implementation of fully automated sports data delivery frameworks.
  • Help support coverage of non-US sports.
  • Work on infrastructure and delivery for core consumer and enterprise data offerings.

Requirements

  • BS/BA degree in Mathematics, Computer Science, or a related STEM field.
  • 2+ years of demonstrated experience writing production-level Python code.
  • Proficiency in Python and SQL, preferably MySQL.
  • Demonstrated experience with Airflow.
  • Demonstrated experience with Kubernetes.
  • Experience building end-to-end ETL pipelines.
  • Experience utilizing REST APIs.
  • Experience with version control (git), continuous integration and deployment, shell scripting, and AWS cloud infrastructure.
  • Experience with web scraping and cleaning unstructured data.
  • Knowledge of data science and machine learning concepts.
  • Strong interest in sports and sports betting, with an emphasis on tennis.
  • Understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, and College Basketball.
  • Ability to use sports knowledge to inform work with complex datasets.

Benefits

  • Remote position.
  • Opportunity to have direct impact on core consumer and enterprise data offerings.
  • Work on new products using the latest technologies.
  • Exposure to a fast-paced, creative, and continually evolving environment.

Interested in this position?

Apply directly on the company website

Apply Now

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