网易大数据开发工程师
社招全职网易数智地点:杭州状态:招聘
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.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
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.
HDFS+
https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html
The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware.
https://www.ibm.com/cn-zh/think/topics/hdfs
Hadoop 分布式文件系统 (HDFS) 是一种管理大型数据集的文件系统,可在商用硬件上运行。
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.
相关职位
社招A166444A
1、为大规模推荐系统设计和实现合理的离线/实时数据架构; 2、设计和实现灵活可扩展、稳定、高性能的存储系统和计算模型; 3、生产系统的Trouble-shoting,设计和实现必要的机制和工具保障生产系统整体运行的稳定性; 4、打造业界领先的离在线存储、批式流式计算框架等分布式系统,为海量数据和大规模业务系统提供可靠的基础设施。
更新于 2025-02-20

社招5年以上技术
1、负责哈啰街猫业务基础数据的建设,包括基础数据模型建立和维护,报表的开发,业务系统的数据开发等; 2、理解哈啰街猫投喂、电商等业务,根据业务需求建立用户画像体系和标签体系,支持推荐和用户运营; 3、参与数据产品及应用的研发工作,挖掘数据业务价值,助力数据化运营;
更新于 2025-02-12

社招
团队内80%+都活跃在开源社区,有多名Committer. 欢迎对大数据底层技术有兴趣的小伙伴,一起挑战自我!(非数据仓库方向) 工作base可选:苏州/北京/成都 岗位描述: 基于hadoop/flink/spark/hive/cloud native等开源技术 1. 负责大数据集群规划、运维工作;负责大数据集群技术问题攻关,集群调优,源码解读,Bug fix等; 2. 负责大数据公共组件、中间件的开发工作; 3. 负责存储组件、批处理、流计算、OLAP、ML/DL,通过技术和业务场景的紧密结合,让数据发挥最大业务价值 4. 支撑数据中台建设;支撑业务结合需求设计高扩展、高性能、高可用的大数据业务系统;
更新于 2025-02-26