Description Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. Key job responsibilities We are looking for a sharp, experienced Application Engineer (AE) with a diverse skillset and background. As an AE, you will work directly with our business teams to solve their support needs with the existing applications and collect requirements and ways to solve highly scalable solutions in collaboration with other technical teams. You will play an active role in translating business and functional requirements into concrete deliverables and building scalable systems. You will also contribute to maintain the services healthy and robust. You will be responsible for implementing, and maintaining the solutions you provide. You will work closely with engineers on maintaining multiple products and services, creating process automation scripts , monitoring and handling ad-hoc operational asks. Basic Qualifications - 4+ years of software development, or 4+ years of technical support experience - Experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda - Experience scripting in modern program languages - Experience troubleshooting and debugging technical systems - Experience in Unix - Experience in building complex QSD(Quick Site Dashboard) , Writing Cradle Queries, Good knowledge of PySpark and SQL Preferred Qualifications - Strong understanding of support processes SLA, handling tickets, monitoring, processes and metrics. - Hands on experience in Cloud technology is plus. - Hands on experience distributed applications/enterprise applications is plus. - Experience in developing automated solutions