Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.
Key job responsibilities
Data team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.
Key job responsibilities
* Architect and implement scalable, reliable data pipelines and infrastructure, supporting analytics at scale
* Design and enforce data modeling standards, lineage, and governance frameworks while ensuring secure, compliant solutions
* Lead technical design/code reviews, evaluate emerging technologies, and drive engineering best practices across development lifecycle
* Work closely with business owners, developers, BI Engineers and Data Scientists to deliver scalable solutions enabling teams to access and analyze data effectively
* Mentor junior engineers, foster technical excellence, and empower team self-service capabilities for handling complex data tasks independently
