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Amazon SDE II, Huron in Detroit, Michigan

Description

Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, Spark, Ray. We build scalable solutions that grow with the Amazon business.

BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers. BDT team is building an enterprise-wide Big Data Marketplace leveraging AWS technologies. We enable teams at Amazon to produce analytical data in any form of storage (S3, DynamoDB, Redshift etc.) and process that data using any type of compute environment such as EMR/Spark, Redshift, Athena, and others via a common bus. We are developing innovative products including the next-generation of data catalog, data discovery engine, data transformation platform, and more with state-of-the-art user experience. We’re looking for top engineers to build them from the ground up.

This is a hands-on position where you will do everything from designing and building extremely scalable components and cutting-edge features to formulating strategy and direction for Big Data at Amazon. You will also mentor junior engineers and work with the most sophisticated customers in the business to help them get the best results. You need to not only be a top software developer with excellent programming skills, have an understanding of big data and parallelization, and a stellar record of delivery, but also excel at leadership and customer obsession and have a real passion for massive-scale computing.

Your responsibilities will include:

Keeping your finger on the pulse of the constantly evolving and growing Big Data field

Translation of complex functional and technical requirements into detailed architecture and design

Delivering systems and features with top-notch quality, on time.

Stay current on technical knowledge to keep pace with rapidly changing technology, and work with the team in bringing new technologies on board

Come help us build for the future of Big Data!

Key job responsibilities

Key job responsibilities

  • Solving problems that center around scale, impacting the user experience of thousands of Amazon customers.

  • Owning software architecture, coding and technical designs.

  • Writing quality, maintainable code and provide/receive peer code-review feedback.

  • Collaborate with technical and UX teams to define and improve user experience.

  • Design, develop, test, and maintain software applications and tools owned by your team.

  • Working as a member and/or leader of end-to-end feature delivery cycles

Basic Qualifications

  • 2+ years of non-internship professional software development experience

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • Experience programming with at least one software programming language

Preferred Qualifications

  • 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • Bachelor's degree in computer science or equivalent

  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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