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Software Development Engineer, 7814 - Selling Partner Promotions

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Vancouver, British Columbia, CAN

14h ago
πŸ‘€ 2 views
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Job Description

On-site
Are you interested in applying your background in application development, data mining or machine learning to massive real world data and impact the lives of millions of Amazon users? Do you like to own end-to-end business problems and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Promotion Analytics and Optimization Service team at Amazon.
At Selling Partner Promotions, our vision is simple - we want to run the best promotions in the industry. Through technology, we seek to constantly increase the quality of promotions - by identifying the best set of products to promote from the millions we carry; best promotion type that meets our business objectives and learning from the performance of our past promotions.

Key job responsibilities
The requirement is for someone who can rigorously use state-of-the-art methods and technologies in their area of specialization. The successful candidate will (1) contribute to existing development efforts already underway by infusing their deep knowledge of their field and technical prowess, (2) identify new and promising uses of technologies that address novel problems in Promotions, and (3) connect with other teams throughout Amazon to ensure that we benefit from innovations and progress across the company. If you are an experienced software engineer with a diverse skill-set and background who enjoys building innovative systems and work with large scale data sets then we would like to chat with you.

About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and skills including Software Engineering, Big Data Engineering and Applied Science. We are building an environment that celebrates knowledge sharing and mentor-ship. 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.- 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
- Bachelor's degree or equivalent- Master's degree in computer science or equivalent
- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

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, disability, age, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary for this position ranges from $114,800/year up to $191,800/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

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