Data Engineer II, Intelligent Talent Acquisition (ITA) - Data

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

• Design, implement, and support a platform providing secured access to large datasets.
• Architect, develop, and maintain end-to-end scalable data infrastructure and data pipelines.
• Develop the team's data strategy and technical roadmap for data storage and pipeline design and implementation.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
• Design and implement complex ETL pipelines and other BI solutions.
• Work closely with business owners, developers, and Business Intelligence Engineers to explore new data sources and deliver the data.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with increased data volume using AWS.
• Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
• Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity, along with fostering a culture of self-reliance.

Basic qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines