Amazon
Operations, IT, Support Engineering, ecp
ApplicationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Application Engineer at Amazon. Skills: Catalog support, Data flow monitoring, Root cause analysis. Monitor data flow. Meet ticket SLAs”
What You'll Achieve.
Drive ongoing improvements to catalog quality
Industry & Context.
Problem solving; Analytical skills; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
1+ years of software development, 1+ years of technical support experience, Experience troubleshooting and debugging technical systems, Experience scripting in modern program languages, Bachelor's degree
Nice to Have
1+ years of technical support experience, Knowledge of computer science fundamentals, Object-oriented design, Operating systems, Algorithms, Data structures, Complexity analysis
What You'll Do.
Drive rootcause resolution defects
Provide critical product support
Carry out data research
Liaise with technology teams
Provide solutions for catalog quality
Migrate business rules
Provide new listing experiences
Analyze metadata inconsistencies
Fix metadata inconsistencies
Analyze business rule inconsistencies
Fix business rule inconsistencies
Solve business problems
Drive process improvements
How You'll Work.
Team & Collaboration
Cross-functional teams; Key business stakeholders
Communication Scope
Work with stakeholders
Full Job Description
Work hard. Have fun. Make history. The mission of the Catalog Support and Programs (CSP) team is to provide a single point of contact for item-related problems and issues related to all retail and merchant catalog. As a member of Amazon Selection and Catalog Systems team, you’ll play a key role in driving Amazon’s business. You will be responsible for monitoring the data flow as well as meeting ticket SLAs and driving rootcause resolution defects. The Amazon Selection and Catalog Systems team is responsible for the systems that allow our business units to provide customers with the largest, highest quality, and most up to date selection in the world. You will play a key role in supporting our business teams worldwide by providing critical product support, carrying out data research, liaising with technology and other internal teams on workflow improvements, data interpretation and data improvements and help providing solutions that drive ongoing improvements to the quality of Amazon’s catalogs. This role requires an individual with excellent analytical abilities and business acumen. The successful candidate will be a self-starter, comfortable with ambiguity, have strong attention to detail, and will be comfortable accessing and working with data from multiple sources. The candidate should also have strong communication skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally. A keen sense of ownership and drive is a must. The role will work with a diverse set of data and cross-functional teams as well as use data to drive process improvement. An ideal engineer is one who enjoys discovering and solving ambiguous problems, can quickly learn complex systems, and enjoys building actionable insights from data. To meet these
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