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Open nowPosted 79 days ago

数据仓库开发工程师-财经

ByteDance19,208 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now数据仓库开发工程师-财经ByteDance · Beijing, Chinese Mainland
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 79 days ago

ByteDance median: 2 days open

The posting

1、主导或参与财经业务数据仓库的规划、建设与持续运营,支撑业务分析、经营决策及智能应用场景落地; 2、主导或参与财经公共数据资产建设,推进数据标准、模型规范、指标口径、元数据与资产治理体系建设,提升数据资产对人员使用和AI使用的双重友好性; 3、深入理解业务流程与系统链路,从数据治理、模型设计、口径一致性、质量保障等维度识别并推动解决业务和系统问题,形成数据治理闭环; 4、面向数据消费升级,建设可复用、可发现、可理解、可调用的数据资产,支撑报表分析、数据服务、指标查询、智能问答、Agent调用等多样化交付形态; 5、在数据建设过程中,持续平衡建设成本、交付效率与数据质量,推动公共能力沉淀和工程化提效。

1、计算机相关专业本科及以上学历,具有从0到1搭建企业级数仓或公共数据层的经验; 2、扎实的数据仓库理论基础,熟悉维度建模方法,具备应用层建设经验; 3、具备海量数据加工、任务运维及稳定性保障经验,能够灵活运用SQL完成复杂数据加工与治理; 4、熟悉Hadoop生态相关技术并有实践经验,具备hSQL、Spark SQL调优经验; 5、至少熟练使用Shell、Python等脚本语言之一,具备良好的工程实现与自动化能力; 6、理解数据资产化、数据治理和数据服务化建设思路,有将数据资产沉淀为可复用能力的意识;具备面向AI/Agent场景进行数据可读性、语义一致性、可调用性设计经验者优先;对代码质量、模型设计质量有较高要求,重视Code Review和工程规范;具有互联网金融行业从业经验,熟悉信贷、支付、保险等业务者优先。

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