
叠纸游戏高级广告数据开发
社招全职5年以上平台类地点:上海状态:招聘
任职要求
1. 计算机相关专业本科及以上学历,5年以上大数据相关工作经验; 2. 具备3年以上的Java开发经验,熟练掌握SpringBoot、SSM、Mybatis等框架,有一定的DEBUG及性能优化能力; 3. 掌握大数据生态技术栈,如Hadoop、Spark、Flink、Hive、HBase、Kafka、Elasticsearch等,并有实际工作经验; 4. 具有良好的学习能力、团队协助以及沟通能力,执行力强,对工作有责任…
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工作职责
1. 负责广告平台相关数据的收集、清洗、处理等数据开发工作; 2. 负责构建广告垂直业务线的数据仓库,沉淀广告数据公共中间层相关数据资产; 3. 负责广告价值衡量体系的数据报表或数据看板搭建,提升广告业务数据分析效率; 4. 负责开发和维护广告数据处理系统,包括实时和离线数据流处理,确保系统的高效稳定运行; 5. 负责广告相关数据的数据质量,提升广告投放效果和用户体验。
包括英文材料
学历+
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.
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 Boot+
https://spring.io/guides/gs/spring-boot
his guide provides a sampling of how Spring Boot helps you accelerate application development.
https://www.youtube.com/watch?v=Nv2DERaMx-4&list=PLzUMQwCOrQTksiYqoumAQxuhPNa3HqasL
The author teaches you how to use Spring Boot from a complete beginner, to building a REST API with a real database, Dockerising it and deploying it to the cloud.
MyBatis+
https://mybatis.org/mybatis-3/getting-started.html
https://www.baeldung.com/mybatis
MyBatis is an open source persistence framework which simplifies the implementation of database access in Java applications.
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.
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