Data Engineer I, ITA, Candidate Conversion

Do you want a role with deep meaning and the ability to make a major impact As part of Intelligent Talent Acquisition (ITA) youll 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. Youll work on state-of-the-art research advanced software tools new AI systems and machine learning algorithms leveraging Amazons 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 peoples lives. Together we can solve the worlds 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


- Experience with SQL
- Experience with one or more scripting language (e.g. Python KornShell)
- 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
- Bachelors 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

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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