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Job Details:
Position Name : Software Development Engineer, Buying Options Analytics
Location: Bengaluru, Karnataka
Job ID : 27341c7d991a9c4f
Description : 2+ years of non-internship professional software development experience
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
2+ years of non-internship professional software development experience
Experience in an object oriented language such as Java, C#, or C++
Understanding of web services technologies such as HTTP and REST
Strong understanding of system and application performance characteristics.
Ability to work in a fast paced and agile development environment
Passion for developing products which provide a great customer experience. Strong customer focus, ownership, urgency and drive.
Motivation to drive tasks to completion and take ownership of projects
Knowledge of professional software engineering best practices for the full software development life-cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field is required.
Job summary
Do you ever struggle to explain your work? How’s this: “Do you shop at Amazon? Do you know that box that says ‘Add to Cart’ and shows a price? Our team owns the model which picks that offer and the customer experience around the display of the offer price and the elements surrounding the ‘Add to Cart’ button which inform a purchase decision. We pick and display offers several billion times a day across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide.” The mission of the Amazon Offers Experience organization is to be the world’s first and most trusted choice for every customer on earth to discover and evaluate any product or service.
Our team blends machine learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon along with a world-class front-end user experience for offer comparison to our global customers. We are responsible for the experiences and services that enable developers, including our own, to create tailored shopping experiences for every customer, product, business and marketplace offered by Amazon. We build scalable and extensible frameworks which allow for many teams at Amazon to innovate within the Offers Experience in a federated manner. If you are passionate about influencing, designing, and delivering the next-generation Amazon customer buying experience, we want to meet you.
We’re looking for a software development engineer to design and implement the next generation logging and data lake architecture which provides decision making towards the best shopping customer experience. Amazon teams utilize these real-time data sets to generate business metrics relating to competitive pricing, and inputs into new ML models which continuously improve the customer experience across Amazon. Our data lake stores and processes billions of records and multiple terabytes of data daily. This role will partner with Big Data Technology teams within Amazon to build out comprehensive data sets which meet data compliance standards. Users of Buying Options Analytics will benefit from seamless discovery, identification, query and joining of datasets using Amazon standard tool sets as well as AWS products (e.g. EMR, Athena).
An MS degree in Computer Science.
Distributed programming experience is highly recommended.
Experience with Oracle or MySQL in a Linux or UNIX environment is a nice to have.
Experience building and operating online services and fault-tolerant distributed systems.
Actively practicing professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
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