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.

As a Data Engineer I, you should have solid knowledge of data lake fundamentals around storage, compute, etc., and be familiar with data processing frameworks like Spark and core data concepts (e.g., Data Modeling). You should have a good understanding of cloud-based data solutions using AWS stack or other cloud platforms. You are expected to be able to build ETL and reporting solutions with guidance from more senior team members. You should be eager to learn new technologies and be able to implement solutions using them under supervision to enhance existing functionality or contribute to platform scaling efforts. You should be able to work well in a fast-paced environment, comfortable working with large data volumes, adaptive to evolving business requirements, and passionate about data and analytics.

Key job responsibilities
- Develop and maintain data pipelines following team architectural patterns
- Implement security and privacy measures for data products according to company standards
- Collaborate with various stakeholders (business owners, Business Intelligence Engineers, and Data Scientists) to understand their needs and implement appropriate solutions
- Troubleshoot and resolve data-related issues independently when possible, escalating complex problems appropriately
- Contribute to team knowledge sharing by documenting processes and solutions and guidance from the team

Data Engineer I, ITA, Candidate Conversion