Data Engineer with Sports Betting License

Job Summary

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

Key Responsibilities

• Develop data pipelines and maintain 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 various teams to understand data requirements and implement scalable technical solutions

Required Qualifications

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