MajResponsibility:
1. Engineering Skill: Engineering/design modeling computer skill. Guide project team member to establish computer. Modular symbols. Detect prevent defect/issues on product design process
Analyze the cause of defect resolve the
problem through different production processes
2. Product restructure/design: Independent design skills, rigid structures, ergonomically, BlFMA compliances, usages of materials
3. Production Technical Support: Initiate discussion with production with production department/supplier during the process from design to finish goods.
4. Quality Support: Analyze defect product root cause. Provide practical improvement plan to prevent defect. Knowledge of A3/8D to improve work.
Job Requirement:
1. 2 years equivalent furniture/product design experience; Marketing insight ability; Furniture trend branding knowledge; Provide conceptual design based on different needs;
2. Well aware metal aluminum parts’ selection, production method process;
3. Thorough knowledge on OEM products, steel cabinet, veneer painting product structure production processes;
4. SAP processing knowledge, familiar capable to set up product BOM in SAP;
5. Creo model design skill engineering drawing skill;
6. Written verbal English above CET 4;
更新于 2025-11-07
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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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