Software Development Engineer II, Business Data Technologies

Amazons 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 Services (AWS) Redshift Hive Spark Scala and Flink. 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 Data Lake leveraging AWS technologies. We enable teams at Amazon to produce analytical data in any form of storage (S3 DynamoDB Aurora 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. Were 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 data processing 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 data processing 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 data processing and data lake 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

A day in the life

Work/Life Balance
Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Come help us build for the future of Data Lake!

A day in the life
The challenges SDEs solve for at Amazon are big and influence millions of customers sellers and products around the world. We are looking for individuals who are passionate about creating new products features and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks not years.

About the team
Huron team under BDT owns the Streaming Ingestion Platform (DataCraft) with 19K pipelines running actively on the platform and sinking data to Andes S3 and EDX in micro batches using AWS Managed Flink infrastructure. We also work on improving the developer productivity areas including guidelinesrecommendations of AI based operations and development practices.

- 3 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

- 2 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at MI Detroit - 143700.00 - 194400.00 USD annually

Required Experience:

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