途虎养车大数据平台开发专家（武汉）
社招全职3年以上技术地点：武汉状态：招聘♡ 收藏
工作描述
任职要求 1. 计算机、软件工程、数学、统计学等相关专业，3年以上Java或Scala研发经验； 2. 精通 Hadoop、Spark、Flink、Hive、Kafka、Hudi 等主流大数据组件，具备架构理解、性能调优与运维管理能力； 3. 5年以上大数据相关工作经验，含至少3年大数据集群运维经验或者数据开发平台经验； 4. 熟悉大数据平台全生命周期管理，…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
Scala+
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
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.
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
还有更多 •••
相关职位
社招技术类
1.计算机基础知识扎实，包括操作系统、计算机网络、数据结构、基础算法、数据库等； 2.编程能力扎实，熟练使用Java、SQL语言编程，熟练掌握SpringBoot、Mybatis等框架，有一定的DEB
更新于 2026-06-16上海
社招研发类
1.计算机基础知识扎实，包括操作系统、计算机网络、数据结构、基础算法、数据库等。 2.编程能力扎实，熟练使用Java、SQL语言编程，熟练掌握SpringBoot、Mybatis等框架，有一定的DEB
更新于 2026-09-03上海
社招5年以上技术类
核心要求1. 本科+学历，5年+大数据平台开发经验，主导过平台建设项目2. 熟悉Hadoop/Spark/Flink/Kafka/dolphinscheduler等组件原理，有生产环境调优经验3. 掌
更新于 2026-02-26深圳