Sports Betting Data Engineer

Job Summary

A company is looking for a Data Engineer to architect and develop sports-focused data systems and pipelines.

Key Responsibilities

• Architect and develop scalable data platform infrastructure for batch and real-time data processing
• Implement monitoring, alerting, and logging mechanisms to ensure data platform health and performance
• Collaborate with stakeholders to understand data requirements and lead code reviews to maintain data quality

Required Qualifications

• At least 3 years of experience building data pipelines and systems in a cloud environment
• Strong familiarity with distributed computing and data storage mechanisms
• Experience with data streaming frameworks such as Apache Kafka or Kinesis
• Advanced proficiency in Python and SQL, with at least one year of experience in Golang
• Experience with DevOps practices including CI/CD pipelines and infrastructure-as-code tools