网易资深/高级数据开发工程师(LOFTER)
社招全职网易元气地点:杭州状态:招聘
任职要求
1、熟练掌握Hive、Spark、Flink、Doris等大数据工具,有良好的Java基础,有数据仓库、数据治理的工作经验,对技术有较高热情。…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
1、参与数据仓库设计与研发、ETL开发工作等,构建平台流量、用户等核心数据资产。 2、参与数据平台、DataAgent的研发,为业务/运营/产品提供可靠的数据支撑和高效工具。
包括英文材料
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Doris+
https://doris.apache.org/docs/gettingStarted/what-is-apache-doris
还有更多 •••
相关职位
社招6年以上信息技术类
1、负责电商财务域数据模型调研、设计、开发工作,与业务部门紧密配合,提供数据支持 2、负责电商财务域数据运营&治理工作,保障数据质量 3、参与电商财务域数据体系化建设,提升数据服务稳定性
更新于 2026-03-25广州
社招2年以上信息技术类
* 负责广告投放及站内相关业务的数仓模型设计与建设,制定合理的分层架构,并随业务演进持续迭代优化; * 主导数据开发全流程落地,包括任务开发、运维及数据质量管理,保障数据的准确性、时效性与稳定性; * 建设面向分析师和业务方的数据资产,并且能通过 AI + 产品化的手段降低取数成本,提升数据分析效率。
更新于 2026-07-10上海|南京
社招信息技术类
1.承接实时/离线大数据处理流程开发,满足平台内业务数据需求。 2.对大数据服务进行性能调优,保障集群的高效与平稳运行,提升系统稳定性和可扩展性。 3.持续升级计算存储架构,更好支持业务发展。 工作
更新于 2026-01-13上海
