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Quality Assurance Engineer Intern - 2025 Internship, Shenzhen, China

Amazon

On-site 🏢 21 October
QA & Testing
Shenzhen, China 🇨🇳

请注意，申请此实习岗位需要满足如下条件： 毕业时间：25年6月至26年9月之间毕业 面试时间：24年11月-24年12月 入职日期：25年1月-2月 实习时间：一周实习4-5天，持续6个月 工作地点：深圳市南山区 简历要求：请提供中英双语简历（放在一个文件中）投递须知：1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！2 学校的英文全称请准确填写。Amazon Private Brands aims to offer customers a wide selection of low-priced products with good quality. HPB sourcing team strives to deliver value products by selecting the best-in-class suppliers, track and improve supplier performance, and protect customer by proactive defect avoidance. We are looking for customer-obsessed interns to lead initiatives that further develop workflow automation, improve datamining and visualization. Internship will last for 24 weeks from Jan 2025, located in Nanshan, Shenzhen.The successful candidate will enjoy diving deep into data and identifying insights, as well as have a curious mind on manufacturing and continuous improvement. The ideal candidate will thrive in a highly collaborative, analytical, creative, and fast-paced international environment. The ideal candidate must be self-driven and have the analytical horsepower to break down complex problems, and a strong will to get things done and deliver results. Finally, the candidate must also be a strong communicator, with the ability to communicate concisely and effectively.What will you gain: Gain manufacturing industry and factory management knowledge; Apply your learnings in business environment, sharpening analytical and coding skills; Gain experience in a fast-paced, entrepreneurial working environment; Work with a diverse team with professionals from over 10+ different countries and various industries; Boost you resume with real world experience.Key job responsibilities Learn Amazon Data infrastructure and tools, extract and integrate data from Datawarehouse for holistic analysis; Learn factory audit requirements and third-party lab management skill. Automate third-party lab performance evaluation matrix and visualize data. Work with cross function stakeholders, provide data supports, business updates and solutions.#auta-gcr#auta-gcr-aws
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