网易高级/资深服务端开发工程师(曲库)
社招全职3-5年网易云音乐地点:杭州状态:招聘
任职要求
1、本科及以上学历,计算机软件相关专业,3年以上互联网开发经验; 2、具备扎实的Java编程基础,熟练使用Spring等常用java开发框架,熟悉常用设计模式,有较好的代码设计和编写习惯; 3、良好的问题分析能力、抗压能力、沟通能力和项目推进能力,独立负责过较大型的项目,有技术难点攻关经验; 4、熟悉常用的中间件,包括但不限于分布式数据库,分布式缓存,消息队列等,理解中间件的基本原理; 5、了解hive,spark,flink等大数据开发的框架,有批流任务的使用经验; 6、有内容平台经验者优先。
工作职责
1、建设云音乐曲库,打造领先的专业曲库; 2、参与音乐平台系统架构设计、优化、持续提升系统性能和稳定性,助力业务快速发展; 3、关注前沿技术发展,探索实践,推动团队技术研究和创新。
包括英文材料
学历+
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.
Spring+
https://liaoxuefeng.com/books/java/spring/index.html
Spring是一个支持快速开发Java EE应用程序的框架。它提供了一系列底层容器和基础设施,并可以和大量常用的开源框架无缝集成,可以说是开发Java EE应用程序的必备。
https://spring.io/guides/gs/rest-service
https://spring.io/quickstart
Level up your Java code and explore what Spring can do for you.
开发框架+
[英文] Understanding Modern Development Frameworks: A Guide for Developers and Technical Decision-makers
https://www.freecodecamp.org/news/understanding-modern-development-frameworks-guide-for-devs/
设计模式+
https://liaoxuefeng.com/books/java/design-patterns/index.html
设计模式,即Design Patterns,是指在软件设计中,被反复使用的一种代码设计经验。使用设计模式的目的是为了可重用代码,提高代码的可扩展性和可维护性。
[英文] Design Patterns
https://refactoring.guru/design-patterns
Design patterns are typical solutions to common problems in software design. Each pattern is like a blueprint that you can customize to solve a particular design problem in your code.
https://www.youtube.com/watch?v=NU_1StN5Tkk
Design Patterns tutorial explained in simple words using real-world examples.
中间件+
https://www.youtube.com/watch?v=1oWPUpMheGk
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
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.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
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