Job Description

Description
ShipTech Analytics (STA) is on a mission to revolutionize Amazon's global transportation network through data-driven innovation and artificial intelligence. Our vision is to be the central nervous system of Amazon's transportation operations, providing real-time insights, diagnostive analytics, and AI-powered decision-making capabilities that drive operational excellence across the network.
As a Data Engineering Manager, you'll lead one of our core engineering teams responsible for building and scaling mission-critical data products that power worldwide operations business decisions. In this role, you'll drive technical excellence while building and mentoring a high-performing team of data engineers. You'll be responsible for architecting scalable solutions that process petabytes of data daily, serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains.
Key job responsibilities
- Delivery of robust, scalable data solutions supporting WW Operations data infrastructure;
- Enhancement of real-time analytics capabilities serving WW Operations leaders;
- Innovation in AI-powered insights through our PerfectSensei platform, including GenAI applications
- Leadership in data governance, quality standards, and responsible AI practices across the organization
- Implementation of cutting-edge GenAI solutions for automated reporting, dignostic, predictive & prescriptive analytics.
Basic Qualifications
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Skills Required