Data Engineer II, AWS Data Platform

Amazon Web Services (AWS) is seeking a Data Engineer to join their AWS Data Platform team, focusing on handling massive-scale data processing challenges. The role involves working with cutting-edge technologies to process trillions of events monthly using Kinesis, EMR, DynamoDB, and Aurora. The team's mission is to build and maintain AWS's data lake platform, processing billions of usage and billing transactions daily.

The position requires expertise in large dataset management, ETL pipeline development, and working with various data platforms. You'll be at the intersection of all AWS services, directly impacting customer experience through billing analytics and data processing solutions. The team is disrupting the data warehouse industry using technologies like EMR, Spark, and Redshift.

AWS offers a strong culture of inclusion with employee-led affinity groups, mentorship programs, and ongoing learning opportunities. The role provides exposure to some of the most challenging scalability and distributed computing problems while working with a diverse team committed to innovation. You'll have the opportunity to shape the future of AWS's data platform while collaborating with various teams and directly impacting customer success.

The ideal candidate will combine technical expertise with strong business acumen, capable of translating business requirements into scalable data solutions. This role offers the unique opportunity to work at the forefront of cloud computing, handling data at unprecedented scales while contributing to AWS's continued growth and innovation in the cloud services industry.