[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All China Telecom jobs](https://jobs.opennash.com/companies/china-telecom/) · [Search jobs](/search/)

China Telecom · 其它

# 大数据和AI工程师（大数据开发方向）

其它 

Listed on China Telecom’s official careers site. Posted August 21, 2026. Check that it is still open and apply there.
[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=132490&recruitType=1&brandCode=1&columnId=1)

[OpenNash Jobs](https://jobs.opennash.com/) / [China Telecom](https://jobs.opennash.com/companies/china-telecom/) / 大数据和AI工程师（大数据开发方向）

## Job description

### Responsibilities
- 负责大数据平台基础上的应用开发，包括报表系统、数仓建设
- 负责数据仓库和大数据处理ETL流程开发以及模型设计
- 负责基于HADOOP生态技术进行海量数据的ETL处理、分析、统计、挖掘工作
- 完成数据指标的统计、多维分析和报表展现

### 总结和编写相关的开发文档，并能够根据规划需求制定相关技术方案 Requirements
- 熟悉linux开发环境及linux基本操作命令
- 熟悉PostgreSQL、Mysql、Hive、Redis等数据库
- 熟悉SQL、PL/SQL、PERL、Python等脚本语言开发
- 熟悉hadoop及hadoop生态圈中的常用组件，如Spark、HBase、Hive、Zookeeper、Kafka、Solr等
- 熟悉数据ETL、数据模型分层设计等基本理论
- 拥有实际的Hadoop的项目实践经营，有Spark、Flink使用经验者优先
- 熟悉机器学习或深度学习，Python数据挖掘经验优先
- 有良好的代码习惯，有效编写单元测试

## At a glance
- Posted by the employer: Aug 21, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 58 days
- Location: 其它[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=132490&recruitType=1&brandCode=1&columnId=1)

## More jobs at China Telecom

### [AI/大模型应用开发工程师](https://jobs.opennash.com/companies/china-telecom/jobs/f3074af22d1cd03ab932/)

其它

### [AI开发工程师(省人工智能中心）](https://jobs.opennash.com/companies/china-telecom/jobs/059a6e88c4f7c1d53d0c/)

其它

### [AI开发工程师（下属县）](https://jobs.opennash.com/companies/china-telecom/jobs/dccb78454b9435d8dcfc/)

其它

### [AI开发工程师（省智能云网业务运营中心）](https://jobs.opennash.com/companies/china-telecom/jobs/ebf255c20bcca5c3fdbc/)

其它

### [AI算法工程师](https://jobs.opennash.com/companies/china-telecom/jobs/297ea8175931b5848a18/)

其它

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)