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智能湖仓研发工程师(上海/深圳)

Tencent

Software and Technology Jobs

智能湖仓研发工程师(上海/深圳)

full-timePosted: Dec 2, 2025

Job Description

智能湖仓研发工程师(上海/深圳)

📋 Job Overview

The Intelligent Lakehouse R&D Engineer role at Tencent focuses on optimizing lakehouse storage systems to enhance data performance and resource efficiency. Responsibilities include developing asynchronous optimization modules, integrating with computing engines like Spark and Flink for seamless real-time and offline analytics, and contributing to open-source projects such as Iceberg and Lance. This position is based in Shanghai or Shenzhen and emphasizes technical innovation and community collaboration.

📍 Location: Shanghai, China

🏢 Business Unit: TEG

📄 Full Description

1.负责湖仓存储系统内核的极致优化,设计并实现异步湖仓智能优化模块,提升数据写入/查询性能与资源利用率;
2.生态对接与计算融合:深度整合 Spark、Flink、SR 等计算引擎,实现湖仓与流批一体场景的平滑对接,支持实时数仓与离线分析协同;
3.开源协同与技术影响力:参与 Iceberg, lance 等开源项目贡献,主导定制化功能开发,推动技术文档完善与社区生态共建。

🎯 Key Responsibilities

  • 负责湖仓存储系统内核的极致优化,设计并实现异步湖仓智能优化模块,提升数据写入/查询性能与资源利用率
  • 生态对接与计算融合:深度整合 Spark、Flink、SR 等计算引擎,实现湖仓与流批一体场景的平滑对接,支持实时数仓与离线分析协同
  • 开源协同与技术影响力:参与 Iceberg, lance 等开源项目贡献,主导定制化功能开发,推动技术文档完善与社区生态共建

Locations

  • Shanghai, China

Salary

Estimated Salary Rangemedium confidence

300,000 - 600,000 CNY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Responsibilities

  • 负责湖仓存储系统内核的极致优化,设计并实现异步湖仓智能优化模块,提升数据写入/查询性能与资源利用率
  • 生态对接与计算融合:深度整合 Spark、Flink、SR 等计算引擎,实现湖仓与流批一体场景的平滑对接,支持实时数仓与离线分析协同
  • 开源协同与技术影响力:参与 Iceberg, lance 等开源项目贡献,主导定制化功能开发,推动技术文档完善与社区生态共建

Target Your Resume for "智能湖仓研发工程师(上海/深圳)" , Tencent

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Tencent logo

智能湖仓研发工程师(上海/深圳)

Tencent

Software and Technology Jobs

智能湖仓研发工程师(上海/深圳)

full-timePosted: Dec 2, 2025

Job Description

智能湖仓研发工程师(上海/深圳)

📋 Job Overview

The Intelligent Lakehouse R&D Engineer role at Tencent focuses on optimizing lakehouse storage systems to enhance data performance and resource efficiency. Responsibilities include developing asynchronous optimization modules, integrating with computing engines like Spark and Flink for seamless real-time and offline analytics, and contributing to open-source projects such as Iceberg and Lance. This position is based in Shanghai or Shenzhen and emphasizes technical innovation and community collaboration.

📍 Location: Shanghai, China

🏢 Business Unit: TEG

📄 Full Description

1.负责湖仓存储系统内核的极致优化,设计并实现异步湖仓智能优化模块,提升数据写入/查询性能与资源利用率;
2.生态对接与计算融合:深度整合 Spark、Flink、SR 等计算引擎,实现湖仓与流批一体场景的平滑对接,支持实时数仓与离线分析协同;
3.开源协同与技术影响力:参与 Iceberg, lance 等开源项目贡献,主导定制化功能开发,推动技术文档完善与社区生态共建。

🎯 Key Responsibilities

  • 负责湖仓存储系统内核的极致优化,设计并实现异步湖仓智能优化模块,提升数据写入/查询性能与资源利用率
  • 生态对接与计算融合:深度整合 Spark、Flink、SR 等计算引擎,实现湖仓与流批一体场景的平滑对接,支持实时数仓与离线分析协同
  • 开源协同与技术影响力:参与 Iceberg, lance 等开源项目贡献,主导定制化功能开发,推动技术文档完善与社区生态共建

Locations

  • Shanghai, China

Salary

Estimated Salary Rangemedium confidence

300,000 - 600,000 CNY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Responsibilities

  • 负责湖仓存储系统内核的极致优化,设计并实现异步湖仓智能优化模块,提升数据写入/查询性能与资源利用率
  • 生态对接与计算融合:深度整合 Spark、Flink、SR 等计算引擎,实现湖仓与流批一体场景的平滑对接,支持实时数仓与离线分析协同
  • 开源协同与技术影响力:参与 Iceberg, lance 等开源项目贡献,主导定制化功能开发,推动技术文档完善与社区生态共建

Target Your Resume for "智能湖仓研发工程师(上海/深圳)" , Tencent

Get personalized recommendations to optimize your resume specifically for 智能湖仓研发工程师(上海/深圳). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "智能湖仓研发工程师(上海/深圳)" , Tencent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TencentShanghaiChinaTEGTEG

Answer 10 quick questions to check your fit for 智能湖仓研发工程师(上海/深圳) @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.