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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Trip.com Group jobs](https://jobs.opennash.com/companies/trip-group/) · [Search jobs](/search/)

Trip.com Group · Shanghai

# 数据仓库工程师（2027届秋招）

Shanghai 

Listed on Trip.com Group’s official careers site. Posted September 15, 2026. Check that it is still open and apply there.
[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ036669&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / 数据仓库工程师（2027届秋招）

## Job description

### 招聘对象

本、硕、博。

### 毕业时间

2026 年 9 月至 2027 年 8 月期间毕业（中国大陆以毕业证为准，非中国大陆地区以教育部学位认证为准）且最高学历毕业后无全职工作经验的学生。

### 你将会负责
- 设计旅游行业主题数据模型；
- 深度参与PB级数据仓库建设、性能优化以及数据治理工作；
- 参与实时、近实时数据开发工作，基于Flink、Paimon等技术栈建设实时/近实时数据模型，为业务部门提供报表开发及数据可视化支持；
- 负责保证相关主题数据的数据质量，比如准确性、及时性等。

### 我们期望你
- 精通SQL，掌握至少一种OLAP数据库的使用，具备海量数据开发能力；
- 掌握数据仓库理论和数仓模型设计，有实际经验者优先；
- 拥有Java开发经验/实时数据开发经验/OLAP平台调优经验之一；
- 良好的团队合作精神，对解决挑战型问题充满激情。

## At a glance
- Posted by the employer: Sep 15, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 34 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ036669&atsApiType=Moka)

## More jobs at Trip.com Group

### [-后端开发工程师-](https://jobs.opennash.com/companies/trip-group/jobs/3fd7aa67824d93394856/)

Shanghai

### [AI Agent工程师（酒店BU）](https://jobs.opennash.com/companies/trip-group/jobs/f1cc5f5708e062dd4138/)

Shanghai

### [AI Agent开发工程师](https://jobs.opennash.com/companies/trip-group/jobs/716999cc960252753f0c/)

Shanghai

### [AI Native 产品经理（线路规划·用户体验方向）](https://jobs.opennash.com/companies/trip-group/jobs/61e27b61f5f48d7fd410/)

Shanghai

### [AI Native 设计师](https://jobs.opennash.com/companies/trip-group/jobs/a5bbe7c88620bfd54ab4/)

Shanghai

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/)