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Open nowPosted 105 days ago

【2027届秋招】数仓开发工程师（AI向）

moonton/campus92 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【2027届秋招】数仓开发工程师（AI向）moonton/campus · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. moonton/campus postings stay open a median of 15 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 105 days ago

moonton/campus median: 15 days open

The posting

1. 参与游戏业务数据仓库的设计、开发与维护，构建高质量的离线/实时数据模型； 2. 负责游戏核心数据指标体系的建设，包括用户行为、营收、留存、运营活动等场景； 3. 参与数据平台工具链的开发与优化，提升数据研发效率和数据质量； 4. 参与 AI Agent 在游戏数据场景中的应用探索，构建智能数据分析助手、自动化数据治理等 Agent 应用； 5. 与游戏策划、运营、分析团队紧密协作，深入理解业务并提供数据解决方案。

1. 2027届毕业生，计算机、软件工程、数据科学、统计学等相关专业本科及以上学历； 2. 熟悉 SQL，了解至少一种大数据技术栈（Hive / Spark / Flink / Doris / ClickHouse 等）； 3. 了解 Python 或 Java/Scala，具备良好的编程习惯； 4. 对数据仓库建模理论有基本认知（维度建模、Data Vault 等）。

加分项（满足其一即可） 1. 有 AI Agent 开发经验，熟悉 LangChain / LlamaIndex / CrewAI / AutoGen 等框架，或有 MCP 工具调用、Function Calling 相关实践； 2. 有 LLM 应用开发经验，了解 Prompt Engineering、RAG、知识库构建等方向； 3. 熟悉游戏行业，对游戏数据场景有理解（如玩家行为分析、经济系统建模、A/B 测试等）； 4. 有数据平台/数据产品开发经验，如任务调度、数据质量监控、元数据管理等； 5. 在 ACM / Kaggle / 开源社区有活跃贡献，在 Kaggle、天池、DataFountain 等数据科学或人工智能竞赛中取得优异成绩或获奖者优先； 6. 有机器学习、深度学习相关科研、实习或项目经历，能够独立完成数据分析、特征工程、模型训练与评估者优先。

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