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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/)

Tencent Holdings · Shenzhen

# 微信视频号-数据Infra高级工程师-(广州/北京)

Shenzhen 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2081596543642808320)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 微信视频号-数据Infra高级工程师-(广州/北京)

## Job description

### Responsibilities
- 主要负责微信视频号推荐业务的核心数据处理，含样本、特征和指标处理，通过合理的数据架构来支撑超大规模的实时和离线数据需求；
- 负责推荐业务数据基础建设，含Flink框架优化、算子开发等流程性能优化和通用性建设，持续升级处理框架，从而更高效稳定的支撑超大规模数据；
- 负责LLM数据基建，设计和实现超大规模样本处理链路，为LLM模型提供灵活稳定的数据集；
- 负责湖仓建设，以及其他新技术落地，持续跟踪相关技术的演进、引入和优化来持续解决具体问题。 Requirements
- 本科以及以上学历，计算机相关专业，2年以及以上大数据工程经验；
- 熟悉Flink和Spark，有实际工程经验；
- 技术栈上，有flink/spark、iceberg/apache paimon等大数据组件的原理级别研究或者成功工业实践的更优；
- 业务上有推荐或者LLM相关工作背景的更优。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2081596543642808320)

## More jobs at Tencent Holdings

### [#QQ游戏中心-发行运营#](https://jobs.opennash.com/companies/tencent-holdings/jobs/9d1cfc780fbcdb0a0a4a/)

Shenzhen

### [3D 动作游戏《狩》美术项目经理（APM）](https://jobs.opennash.com/companies/tencent-holdings/jobs/74fb431b49d65f1be30c/)

Shenzhen

### [3D动作游戏《狩》-文案策划-角色方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/aefb8e04d3a158528ea5/)

Shenzhen

### [3D动作游戏《狩》-游戏运营-PC渠道运营](https://jobs.opennash.com/companies/tencent-holdings/jobs/bd0613468de8267b860a/)

Shenzhen

### [3D动作游戏《狩》-游戏运营-内容生态运营](https://jobs.opennash.com/companies/tencent-holdings/jobs/a1394d4df104126e0aac/)

Shenzhen

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/)
