主要工作職責(zé)Main responsibilities:
1. Communicate with product manager to confirm MRS prepare PRS accordingly.
2. effective solution (mechanical system) as per PRS with balance consideration between quality cost
3. Be responsible fthe risk management tasks (e.g. risk analysis, DFMEA), improve design with the measures considered.
4. Prepare/review verification protocols with test lab verify the design systematically.
5. Follow PDP procedure to build prototypes finish the related technical files.
6. Pre-study generate concepts fpotential projects.
知識/技能/工作經(jīng)驗Required Knowledge/Skills/Experience:
1. More than 5 years design experience in R&D department of mechanical industry, medical industry is preferred
2. Have successful products design experience in chief design role, with knowing most manufacturing processes, such as machining, molding, surface treatment, heat treatment, etc.
3. Be good at top-down design methodology with main 3D design software (prefer to CATIA)
4. Have practical experience of risk management fdesign, including risk analysis DFMEA.
5. Have good basis of English in writing, prefer to have goodal English
個人特質(zhì)/Personal qualities:
1. Good execution positive attitude to the assignment
2. Open willing to accept advice from others
3. Good team cooperation spirit
4. Have innovative mindset systematic thinking characteristics
5. Good communication competence
更新于 2025-12-16
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.
AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.
Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
Basic qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one more scripting language (e.g., Python, KornShell)
Preferred qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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