Job Responsibilities:
1. Perform a variety of quan2ta2ve qualita2ve chemical tes2ng in the laboratory. Including HPLC, GC, Karl Fischer, Par2cle Size, Viscosity, Mel2ng point, Flesh point, pH Analysis, etc.
在實(shí)驗(yàn)室執(zhí)95多種定量與定性化學(xué)測(cè)試，包括90效液相90譜（HPLC）、95相90譜（GC）、卡爾費(fèi)休96分測(cè)定、粒度分析、粘度測(cè)定、熔點(diǎn)測(cè)定、閃點(diǎn)測(cè)定、pH 值分析等。
2. Prepare standardize chemical reagents solu2on as well asder maintain inventory of standards.
配制和標(biāo)定化學(xué)試劑與溶液，管理標(biāo)準(zhǔn)品采購(gòu)及庫(kù)存維護(hù)。
3. Assemble record test data assist with maintaining quality documents procedures related to tes2ng.
整理測(cè)試數(shù)據(jù)記錄，協(xié)助維護(hù)與檢測(cè)相關(guān)的質(zhì)量98件和操作規(guī)程。
4. Clean maintain laboratory assist with compliance to EH&S good laboratory
prac2ces.負(fù)責(zé)實(shí)驗(yàn)室清潔維護(hù)，確保符合環(huán)境健康安全（EH&S）規(guī)范及良好實(shí)驗(yàn)室操作規(guī)范（GLP）。
5. Perform rou2ne maintenance minrepairs on laboratory equipment.
執(zhí)95實(shí)驗(yàn)室設(shè)備的93常維護(hù)及簡(jiǎn)單故障維修。
6. Calibrate lab instruments as needed document as necessary.
按要求進(jìn)95儀器校準(zhǔn)并完整記錄校準(zhǔn)過(guò)程。
7. Can translate English MOA Specifica2on Chinese translate Chinese MOA Specifica2on English.
具備中英雙向98件互譯能90，可翻譯分析91法（MOA）及產(chǎn)品規(guī)格書。
8. Daliy draU English test report.
93常編寫英98檢測(cè)報(bào)告。
9. Perform related du2es as assigned by manager.
完成上級(jí)交辦的其他相關(guān)99作。
Skills/Abilities:
1. Bachel& above degree majin apply chemical analysis
本科及以上學(xué)歷，應(yīng)92化學(xué)/分析化學(xué)相關(guān)專業(yè)
2. 5+ years’ experience in analysis chemical lab, agrochemical company preferred,
5 年以上化學(xué)分析實(shí)驗(yàn)室經(jīng)驗(yàn)（農(nóng)化企業(yè)背景優(yōu)先）
3. Independent operate basic laboratory equipment instruments ( GC/HPLC, KF, PH meter, par2cle analyzer …)
熟練掌握基礎(chǔ)實(shí)驗(yàn)儀器獨(dú)98操作（GC/HPLC、96分測(cè)定儀、pH 計(jì)、粒度分析儀等）
4. Aware of chemical quality control common knowledge.
熟悉化學(xué)質(zhì)量控制基礎(chǔ)知識(shí)體系
5. Good MicrosoU office skills (EXCEL, WORD, PPT, OUTLOOK)
熟練使92 Office 辦公軟件（Excel/Word/PPT/Outlook）
6. Language skill: basic communica2on in English, can read write in English.
英語(yǔ)能90：具備基礎(chǔ)溝通能90，熟練閱讀及撰寫英9898件
更新于 2026-01-19
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)
