Data Engineer, SCOT Data Engineering

Amazon is seeking a Data Engineer to join their Supply Chain Optimization Technology (SCOT) team, working on one of the world's largest and most complex data warehouse environments. This role is crucial in helping Amazon make data-driven decisions that impact their supply chain efficiency and customer delivery speed.

The position involves working with massive datasets and building solutions that directly influence day-to-day decision making at Amazon.com. As a Data Engineer, you'll be responsible for maintaining one of Amazon's largest data marts and developing Business Intelligence reporting solutions used by thousands of users worldwide. The role requires deep expertise in designing, creating, and managing extremely large datasets, along with excellent communication skills to work effectively with business stakeholders.

Key responsibilities include building and maintaining data warehouse implementations, developing data integration tools, and implementing reporting solutions in a fast-paced environment. You'll work with cutting-edge technologies and AWS services, handling both batch and streaming data architectures. The role offers the opportunity to work with technologies like Redshift, Oracle, NoSQL databases, and various AWS services including S3, AWS Glue, EMR, Kinesis, and Lambda.

The ideal candidate will have 4+ years of experience in building data solutions, combining both consulting and hands-on expertise. You'll be part of a world-class team that maintains the entrepreneurial feel of a startup while operating at massive scale. This is an excellent opportunity for someone passionate about working with huge datasets and using data to drive business decisions and change.

The position offers the chance to work on mission-critical analytical reports and metrics viewed at the highest levels of the organization. You'll be at the forefront of Amazon's data-driven culture, helping to ensure business intelligence is timely, accurate, and actionable. The role combines technical expertise with business acumen, making it perfect for someone who enjoys both the technical and strategic aspects of data engineering.