? Integrate activities within buyingganization to ensure consistent appropriate mutual support
? Franges of commodities respond quickly to any quality assurance issues, be aware of deteriorating persistent problems, act decisively to resolve it at a timely manner.
? Implement support the change management process regarding supplier components, including PPAP approval, Run@Rate audit.
? Develop implement plans to achieve targeted objectives fTFS suppliers bad performance suppliers.
? Improve quality performance of suppliers by conducting audit, workshops and/training at supplier locations, providing technical assistance in developing quality systems, other manufacturing technical support as required.
? Function globally with various staffs suppliers to coordinate/implement effective timely resolution to quality issues.
? Interprets, implements, administers Nexteer SQ practices, policies & procedures
Skills Abilities/Qualification:
? High level of analytical ability to assess resolve complex, technical problems by 3L5-why, 8-D problem solving tools, etc.
? High level of sense of urgency problem-solving approach / mindset
? Technology degree with a majin engineering equivalent work experience
? Be able to check tooling gauge design skillful in GD&T
? Proficiental written communication skills.
? Highly proficient in desktop computer skills
? Must be able willing to travel internationally, frequently at times.
? Certification fIATF16949
? BachelEducational Major- Engineering
Experience:
? 3 years of quality management experience (required), automobile industry experience a plus.
? 8 years of quality management experience (required), automobile industry experience a plus. (Senior)
更新于 2026-03-23
查看更多崗位職責(zé)
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
查看更多崗位職責(zé)
