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An established industry player is seeking a Data Engineer to join their innovative team. In this role, you'll develop and maintain scalable data pipelines, ensuring a seamless customer experience. You'll work with cutting-edge big data technologies and collaborate with diverse teams to solve complex challenges. This is an exciting opportunity to contribute to a company that prioritizes customer satisfaction and continuous improvement. If you're detail-oriented and eager to make a global impact, this position is perfect for you!
Join to apply for the Data Engineer, Amazon Customer Service role at Amazon
Join to apply for the Data Engineer, Amazon Customer Service role at Amazon
Description
"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.
Description
"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.
We didn’t make Amazon a multi-billion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE engineers solve complex problems and build scalable, robust solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.
As a Data Engineer, the ideal candidate will partner with Software Developers, Business Intelligence Engineers, Scientists, and Program Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data. This candidate should have strong business judgment, a good sense of architectural design, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies). This role involves both overseeing existing pipelines as well as developing brand new ones for machine learning (ML).
The operating environment is fast paced and dynamic, however has a strong team spirit and welcoming culture. To thrive, the ideal candidate must be detail oriented, enthusiastic and flexible, in return they will gain tremendous experience with the latest in big data technologies as well as exposure (as desired) to statistical and Natural Language modeling through collaboration with scientists on global issue detection models and development.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
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