Data Engineer III, Buyer Fraud

Amazon's Payments Risk team is seeking a Data Engineer III to join their Analytics team to help detect and prevent fraudulent purchases across their e-commerce platform. The role focuses on building large-scale data systems to drive advanced analytics for Payments Risk.

The position involves:

• Building infrastructure to process and analyze large datasets using distributed systems
• Working with AWS technologies including EMR, Redshift, S3, AWS Glue, Kinesis and Lambda
• Collaborating with scientists, business intelligence engineers, and product managers
• Delivering stable data feeds for business insights and machine learning
• Architecting and implementing next-generation BI solutions including streaming applications
• Managing AWS resources and building ETL pipelines
• Providing technical leadership and mentoring team members

The ideal candidate will be detail-oriented, efficient, and customer-obsessed, with strong data engineering skills and experience in big data technologies. They should be capable of working in a fast-paced environment while maintaining high standards for data accuracy and system performance.

The role offers the opportunity to:

• Impact how customers engage with Amazon through data-driven solutions
• Build scalable analytics processes across Payments Risk
• Work with cutting-edge distributed systems and big data technologies
• Lead and mentor other engineers while driving technical excellence
• Contribute to making Amazon the safest place to shop online

This position combines technical leadership, hands-on development, and strategic thinking to help protect Amazon's marketplace and ensure customer trust. The role requires both deep technical expertise and the ability to collaborate across teams to deliver complex data solutions.