Senior Data Engineer with Sports Betting License

Job Summary

A company is looking for a Senior Data Engineer to build robust data pipelines and support cross-functional teams with reliable data.

Key Responsibilities

• Develop and maintain data pipelines and production quality datasets for analytics, data science, and marketing teams
• Design, build, and optimize scalable data platform infrastructure for batch and real-time data processing in the cloud
• Collaborate with stakeholders to understand data requirements and translate them into scalable technical solutions

Required Qualifications

• 5+ years of experience building scalable data pipelines in a cloud-native environment (AWS, GCP, or Azure)
• 3+ years of experience using dbt, Flink, or Spark for data transformations and BI tools such as Sigma or Looker
• Advanced proficiency with Python and SQL
• Hands-on experience with streaming data infrastructure such as Apache Kafka, Apache Flink, GCP Datastream, or AWS Kinesis
• Experience with DevOps practices such as CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CDK)