Work Scope:
? Develop safety production documents as needed
? Cooperate with the execution of EHS management systems
? Ensure employees comply with EHS procedures, such as EHS inspections, safety teams,
change management procedures, etc.
? Establish first aid team, emergency response team, etc./first aid, emergency response
training drills
? Special equipment management, to ensure that relevant licenses are obtained according
to the requirements of government departments, to assist relevant personnel
in obtaining special operation licenses
? Approval of permits fhigh-risk operations
? Inspection of factory safety hazards
? Contractmanagement process execution
? Formulation implementation of safety rules regulations
? Factory fire extinguishers, fire hydrants, safety signs, fire exits other fire
system inspections fire protection maintenance, etc.
? On-site safety inspection
? EHStraining fnew employees, contractors, visitors, etc.
? Occupational health related work
? Other safety work
Requirement:
? Bacheldegree above, English as working language, engineering related majors
? 1-2 years of machinery factory work experience work experience in foreign-funded
enterprises is preferred
? Familiar with factory safety management
? Proficiency in English listening, speaking, reading writing
? Strong learning ability strong communication skills
? Good teamwork ability, good problem-solving ability
更新于 2026-03-31
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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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