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職場數(shù)據(jù)點(diǎn)評 讓職場人少走彎路
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工作 |
工作 公司 工資 專業(yè)

architect

data engineer

Purpose
The employee is allocated to one more projects as SeniArchitect.
The employee is, within the contractual frame fthe project, responsible fsecuring that architect design is executed according to the customer’s requirements expectations, as well as contributing towards an efficient project execution in accordance with the time schedule, price quality.

Work of Scope
This will take place through:
1) A close dialog with the users concerning the project scope customers’ requirements.
2) Ensuring good design quality output in compliance with relevant procedure standards.
3) Tender preparation, evaluation of contractor/supplier quotations contract negotiations.
4) Knowledge of Chinese local regulatory requirements standards.
5) Cross disciplinary coordination, including site support.
6) Skillful usage of AutoCAD etc. relevant architectural design 2D & 3D software.
7) Good skills both in architecture general plot plan.
Qualification
1) BachelMaster Degree in architecture equivalent.
2) You must have minimum 15 years’ professional experience, minimum 1 year experience from industrial factory building design, preferably in pharmacy design field.
3) Creative constructional design skills. Some cross-cultural skills experience in making tender material (drawings specifications) is preferable, even according to British, US, EU as well as other standards.
4) Good skill in MS Office, AutoCAD, 3D Studio Max, Adobe Photoshop, Sketch up etc. relevant Architectural 2D & 3D design.
5) Knows each design phases work both in architecture general plot plan such as Concept Design, Preliminary Design, Basic Design, Detail Design, Cost Estimate, tender document etc.
更新于 2026-01-28
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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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工資待遇區(qū)別

崗位名稱
平均工資
較上年
¥37.2K
--
¥25.8K
--
說明:architect和data engineer哪個(gè)工資高?architect高于data engineer。architect平均工資¥37.2K/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
694
-3%
說明:architect和data engineer哪個(gè)就業(yè)前景好?architect2025年招聘職位量 694,較2024年下降了 3%。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 80.9%
碩士 11.4%
不限學(xué)歷 3.9%
大專 3.1%
博士 0.64%
中專 0.05%
本科 89.1%
碩士 7.3%
不限學(xué)歷 3.6%
說明:architect和data engineer的區(qū)別? architect需要什么學(xué)歷?本科占80.9%,碩士占11.4%,不限學(xué)歷占3.9%,大專占3.1%,博士占0.64%,中專占0.05%。 data engineer需要什么學(xué)歷?本科占89.1%,碩士占7.3%,不限學(xué)歷占3.6%。

經(jīng)驗(yàn)要求區(qū)別

5-10年 43.8%
不限經(jīng)驗(yàn) 24.8%
3-5年 23.2%
1-3年 7.1%
應(yīng)屆畢業(yè)生 1.2%
5-10年 34.5%
3-5年 29.1%
不限經(jīng)驗(yàn) 20.0%
1-3年 14.5%
應(yīng)屆畢業(yè)生 1.8%
說明:architect和data engineer的區(qū)別? architect經(jīng)驗(yàn)要求哪個(gè)最多?5-10年占43.8%,不限經(jīng)驗(yàn)占24.8%,3-5年占23.2%,1-3年占7.1%,應(yīng)屆畢業(yè)生占1.2%。 data engineer經(jīng)驗(yàn)要求哪個(gè)最多?5-10年占34.5%,3-5年占29.1%,不限經(jīng)驗(yàn)占20.0%,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