Offers “Amazon”

Expires soon Amazon

Data Engineer - Payment Acceptance

  • Seattle (King)
  • IT development

Job description

DESCRIPTION

The Payments Acceptance & Experience (PAE) organization makes paying on Amazon possible for millions of around the world. The PAE Data team is a cross functional team of data engineers, scientists, and business intelligence professionals that are constantly looking to improve data availability and accessibility for a variety of use cases. Our team provides a full-stack data solution - everything from building data capture mechanisms into software services to building business forecasts and deploying machine learning (ML) models. We are looking for motivated individuals to contribute immediately to our team in Seattle, Washington. The selected candidates will act as data engineers to design and develop sustainable, large-scale data solutions that integrate with various software and ML services using AWS building blocks whenever possible. We are also looking to develop a flexible ML data suite, with a feature repository, run time feature engineering capabilities, and versioning control to accelerate model building and deployment, so functional SDE skills are required for these positions.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Desired profile

BASIC QUALIFICATIONS

· Bachelor's Degree in Computer Science or related field, or 4+ year relevant work experience
· 2+ years professional experience in software development
· Computer Science fundamentals in object-oriented design
· Computer Science fundamentals in data structures
· Computer Science fundamentals in algorithm design, problem solving, and complexity analysis Proficiency in, at least, one modern programming language such as C, C++, Java, or Perl
· Experience with AWS technologies
· 2+ years professional experience in data engineering
· Data engineering fundamentals in data set design
· Data engineering fundamentals in data architecture

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