jjzzjjzz|AV免费播放欧日韩AV|成人视频久久精品一区色网|国产手机精品视频综合在线人人色|久久伊人网站久久看久久|亚洲无吗字幕久久久久久久|国产黄色毛片电影下载|日本自慰少妇福利导航新网址|91蜜臀无码人妻久久精品|亚州日韩欧美综合

職場數(shù)據(jù)點(diǎn)評(píng) 讓職場人少走彎路
公司 工資 行業(yè) 專業(yè) 工作 排行榜 找客戶
工作 |
工作 公司 工資 專業(yè)

technical support engineer

data engineer

Drive your career
Lear, a global automotive technology leader in Seating E-Systems, enables superiin-vehicle experiences fconsumers around the world. Our diverse team of talented employees in 38 countries is driven by a commitment to innovation, operational excellence, sustainability. Lear is Making every drive better64 by providing the technology fsafer, smarter, more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every majautomaker in the world ranks #179 on the Fortune 500. Further information about Lear is available at follow us on Twitter Corporation.
Thagora by Lear is a leather cutting technology fthe furniture automotive industry. It combines advanced software, algorithms, equipment to bring automation, increased leather savings productivity. Over 18 years of activity continuous investments in R&D enabled us to build a significant collection of proprietary software algorithms hardware equipment. As a team member of Thagora, the Technical Support Engineer at Thagora by Lear, your activity is conducted mostly in Lear Asia plants where Thagora is installed, partly in customers’/distributors’ locations (max 30% of time out of the Lear plants, in the country abroad). All your activities technical challenges are developed in teams comprised of people from the Software Development Department, the Software Support Department, the Hardware Department.
The Role
Key responsibilities include the following:
By testing Thagora products:
61 Analyze understuse cases/requirements fvalidity feasibility
61 Execute all levels of testing
61 Collaborate closely with other team members departments
61 Detect track software defects inconsistencies
61 Provide support documentation
By being actively involved in developing Thagora products:
61 Formulating proposals to the Software Development Department about improving the existing products (interface, features, etc.) based on the test findings
By writing technical documentation
By performing deployment fnew customers:
61 Installation configuration of hardware & software
61 Thagora products
61 Thagora software training
By offering customer support:
61 Answer to customer support requests by phone Internet
61 Diagnose hardware software faults solve technical requests
61 Follow the requests workflow until the issues are solved
61 Provide continuous support fLear production involving Thagora machines software
Qualifications
Graduate of a technical university
Technical skills
61 Ability to understa technical document apply the instructions described in the document (hardware, software)
61 Ability to follow diagrams written instructions to repair a fault set up a system (hardware, software)
61 Ability to develop technical documentation
Software skills
61 Ability to learn CAD software
61 Good knowledge of the Office package
61 Ability to communicate work in a team
61 Ability to handle customer difficult situations
61 Mandatory: ability to read/speak take/give directions in English
61 Represents an advantage: knowledge of AutoCAD
61 Represents an advantage: knowledge of foreign languages, in addition to English
Advantages Of Working At Lear
61 Join the growing Asia team at one of Fortune magazine’s World’s Most Admired Companies 2021.
61 Be on the front end of multiple initiatives in China in building talents.
61 Enjoy an inclusive work environment that encourages innovation creativity
Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace. Applicants must submit their resume fconsideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected finterviews will be contacted. Unsolicited resumes from search firms employment agencies, similar, will not be paid a fee will become the property of Lear Corporation
What We Value
We are revolutionizing the cutting processes manufacturing processes fautomotive seating. So, we question everything. That’s our heritage as a company whose future depends on our capacity to innovate with a sense of drive, purpose, urgency. If you join us, you will work from this set of values:
Lead with Solutions. Curiosity can transform the whisp of an idea a breakthrough.
Own the result. We value accountability. We learn from what we practice.
Do more. Take charge. No job is beneath you, no job is too big.
更新于 2026-03-25
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)

工資待遇區(qū)別

崗位名稱
平均工資
較上年
¥25.8K
--
說明:technical support engineer和data engineer哪個(gè)工資高?technical support engineer低于data engineer。technical support engineer平均工資¥17.3K/月,2026年工資¥K,data engineer平均工資¥25.8K/月,2026年工資¥K,統(tǒng)計(jì)依賴于各大平臺(tái)發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會(huì)影響客觀性,僅供參考。

就業(yè)前景區(qū)別(歷年招聘趨勢)

崗位名稱
2025年職位量
較2024年
說明:technical support engineer和data engineer哪個(gè)就業(yè)前景好?technical support engineer2025年招聘職位量 41,較2024年增長了 52%。data engineer2025年招聘職位量 126,較2024年增長了 14%。統(tǒng)計(jì)依賴于各大平臺(tái)發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會(huì)影響客觀性,僅供參考。

學(xué)歷要求區(qū)別

本科 81.5%
碩士 11.1%
大專 7.4%
本科 87.3%
碩士 7.3%
不限學(xué)歷 5.5%
說明:technical support engineer和data engineer的區(qū)別? technical support engineer需要什么學(xué)歷?本科占81.5%,碩士占11.1%,大專占7.4%。 data engineer需要什么學(xué)歷?本科占87.3%,碩士占7.3%,不限學(xué)歷占5.5%。

經(jīng)驗(yàn)要求區(qū)別

5-10年 37.0%
不限經(jīng)驗(yàn) 33.3%
3-5年 25.9%
1-3年 3.7%
5-10年 32.7%
3-5年 29.1%
不限經(jīng)驗(yàn) 21.8%
1-3年 14.5%
應(yīng)屆畢業(yè)生 1.8%
說明:technical support engineer和data engineer的區(qū)別? technical support engineer經(jīng)驗(yàn)要求哪個(gè)最多?5-10年占37.0%,不限經(jīng)驗(yàn)占33.3%,3-5年占25.9%,1-3年占3.7%。 data engineer經(jīng)驗(yàn)要求哪個(gè)最多?5-10年占32.7%,3-5年占29.1%,不限經(jīng)驗(yàn)占21.8%,1-3年占14.5%,應(yīng)屆畢業(yè)生占1.8%。

data engineer與其他崗位進(jìn)行PK