vivo大数据工程师(IT方向)-27届秋招
校招全职地点:东莞状态:招聘
工作描述
任职要求 1、本科及以上学历,计算机、软件、通信、电子类相关专业,具有良好的英语沟通能力; 2、掌握计算机相关的理论知识和方法:操作系统、计算机网络与安全、数据结构、数据库、软件工程等; 3、熟悉大数据相关技术,有基于hive/spark/trino/flink/starrocks/clickhouse等组件的开发经验; 4、使用过至少一种主流ETL工具,如informatica/kettle/datastage等; 5、了解数仓建模与数据分层的理论; 6、性格开朗、学习能力…
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包括英文材料
学历+
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
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.
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.
StarRocks+
https://docs.starrocks.io/docs/quick_start/
These Quick Start guides will help you get going with a small StarRocks environment.
https://itnext.io/introduction-to-starrocks-a-new-modern-analytical-database-1db2177d26e1
Recently, I had the opportunity to explore StarRocks which is the new kid in the block when talking about massive scale databases which are able to handle petabytes of data.
还有更多 •••
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1、本科及以上学历,计算机、软件、通信、电子类相关专业,具有良好的英语沟通能力; 2、掌握计算机相关的理论知识和方法:操作系统、计算机网络与安全、数据结构、数据库、软件工程等; 3、熟悉大数据相关技术
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1. 计算机相关专业毕业 2. 对于Hadoop,Hive,Spark等大数据技术有较深的开发经验。 3. 熟悉通用的SQL/NOSQL数据库,如Mysql,Redis等。 4. 对于计算机系统、数据
更新于 2026-03-26新加坡