滴滴27届秋储-数据研发实习生(国际化-风险数据)
实习兼职数据类地点:北京 | 上海状态:招聘
任职要求
1、2027 届在校生,硕士及以上学历(优秀本科生亦可),计算机、大数据等相关专业优先 2、掌握大数据核心技术栈,熟悉 Hadoop、Hive、Spark、Flink 等至少一种主流大数据框架,了解数据仓库建模理论 3、熟练使用 SQL,具备复杂 SQL 编写与优化能力…
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工作职责
1、基于 Spark、Hive、Flink 等大数据组件,参与完成特征数据离线数仓分层设计、数据体系建设与模型效能报表开发,为算法模型提供可靠的数据支持 2、参与数据质量监控体系建设,设计数据校验规则,定位并解决数据异常问题,保障数据准确性与完整性 3、探索大数据技术在业务中的落地应用,参与性能优化、任务调度优化、数据治理等方向的技术攻坚。
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.
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.
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.
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