At ZF LIFETEC, we save lives through cutting-edge technology. With over 60 years of automotive safety innovation, we blend start-up agility with corporate stability to drive meaningful impact worldwide. Operating across 48 locations in 20 countries, our global presence amplifies our mission to make roads safer save lives.
Join us in a supportive dynamic environment committed to safety, innovation, reliability. As a part of our international team, your contributions spark innovations in automotive safety. Our inclusive diverse working environment promotes creativity, career growth, continuous development.
Your Tasks
Communication internally externally on technical information/issues.
Technical communication lead ftechnical issues
Lead/Support quality issue fplant during development post SoP (depends on the assignment)
Achieving of the internal technical release
Achieving of product release at the customer ? Support/Lead RFQ activities fthe assigned acquisition projects.
PPAC lead/support (depends on the assignment)
Your Profile
Well knowledge in development of SWS&DAB product
Well knowledge with PC application programs
Well communication skills active thinking
Well leadership skill ? Well program management skill
English knowledge, fluency in both written spoken, as interface are mostly external international
Why ZF LIFETEC?
Innovative Impact: Shape the future of safety with life-saving technology that truly matters.
Dynamic Workplace: Thrive in an agile, collaborative environment where every idea counts.
Culture of Excellence: Be part of a team with over 60 years of high standards groundbreaking achievements.
Growth & Empowerment: Advance your career with strong support fpersonal professional development.
Diversity & Inclusion
At ZF LIFETEC, we are committed to building a culture where inclusiveness thrives diversity is valued. We welcome unique perspectives actively work to remove barriers, empowering all employees to reach their full potential. Guided by this vision, we innovate life-saving technology that makes a real impact on automotive safety.
更新于 2026-01-30
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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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