Remote Real-Time Data Engineer – Sports Analytics

Swish Analytics; Barcelona; A distancia; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A predictive data analytics company is seeking a Data Engineer based in Europe to work remotely on their core consumer and enterprise data offerings. The ideal candidate will have at least 2 years of experience in production-level coding with a strong proficiency in Python and SQL. Responsibilities include building real-time analytics systems and developing predictive analytics into APIs. A passion for sports, especially Tennis, is desired.

Formación

• Minimum of 2+ years of demonstrated experience writing production level code.
• Proficiency in Python and SQL with experience in Airflow.
• Experience building end-to-end ETL pipelines.

Responsabilidades

• Support production systems and help triage issues during live sporting events.
• Architect low-latency, real-time analytics systems.
• Build new sports betting data products and predictions offerings.

Conocimientos

Python

SQL

Kubernetes

Machine Learning Concepts

Educación

BS/BA degree in Mathematics, Computer Science, or related STEM field

Herramientas

Airflow

AWS

Git

Descripción del empleo

A predictive data analytics company is seeking a Data Engineer based in Europe to work remotely on their core consumer and enterprise data offerings. The ideal candidate will have at least 2 years of experience in production-level coding with a strong proficiency in Python and SQL. Responsibilities include building real-time analytics systems and developing predictive analytics into APIs. A passion for sports, especially Tennis, is desired.