Data Engineer , ITA, Conversion

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 fair and precise way.

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, 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.

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.

• Solid knowledge of data lake fundamentals around storage, compute, etc., and familiarity with data processing frameworks like Spark and core data concepts (e.g., Data Modeling).
• Good understanding of cloud‑based data solutions using AWS stack or other cloud platforms.
• Ability to build ETL and reporting solutions with guidance from more senior team members.
• Eager to learn new technologies and to implement solutions using them under supervision.
• Ability 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.
• Experience with SQL.
• Experience with one or more scripting languages (e.g., Python, Korn Shell).
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience as a Data Engineer or in a similar role.
• Knowledge of cloud services such as AWS or equivalent.
• Bachelor’s degree.

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
• Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc.
• Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://(Use the "Apply for this Job" box below).)

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