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it support engineer

data engineer

Job Description
The IT Help Desk Technicians will be responsible fproviding first-line technical support to company employees customers, resolving issues they encounter with computers software. The ideal candidates should have excellent communication problem-solving skills be able to work efficiently in a fast-paced environment.
Key Responsibilities:
? Technical Support:
1. Respond to resolve technical issues via phone, email, on-site support.
2. Record track all technical support requests to ensure timely resolution.
3. Provide technical support troubleshooting fcomputer hardware, software, networks, other IT equipment.
? Problem Diagnosis Resolution:
1. Diagnose resolve computer hardware software issues, including operating systems, applications, network connectivity problems.
2. Assist with the installation, configuration, upgrade of computer systems software.
3. Maintain the Help Desk knowledge base, documenting common issues solutions.
? User Training Guidance:
1. Provide IT-related training guidance to employees customers, helping them better use computers software.
2. user manuals technical guides, providing clear operating instructions.
? System Monitoring Maintenance:
1. Monitthe operation of company IT systems networks to ensure stability security.
2. Perform regular system maintenance updates to ensure normal operation.
? Others:
1. Assist in inventory management of IT equipment.
2. Assist global IT departments in project testing.
更新于 2026-03-22
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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
¥25.8K
--
說明:it support engineer和data engineer哪個工資高?it support engineer低于data engineer。it support engineer平均工資¥15.0K/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:it support engineer和data engineer哪個就業(yè)前景好?it support engineer2025年招聘職位量 20,較2024年增長了 43%。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)定性會影響客觀性,僅供參考。

學(xué)歷要求區(qū)別

本科 87.5%
不限學(xué)歷 12.5%
本科 89.1%
碩士 7.3%
不限學(xué)歷 3.6%
說明:it support engineer和data engineer的區(qū)別? it support engineer需要什么學(xué)歷?本科占87.5%,不限學(xué)歷占12.5%。 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

3-5年 37.5%
5-10年 37.5%
1-3年 25.0%
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:it support engineer和data engineer的區(qū)別? it support engineer經(jīng)驗(yàn)要求哪個最多?3-5年占37.5%,5-10年占37.5%,1-3年占25.0%。 data engineer經(jīng)驗(yàn)要求哪個最多?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