vivo助理大数据工程师
社招全职3-5年研发类地点:东莞状态:招聘
任职要求
1.本科三年以上运维经验,计算机相关专业; 2.具有实际的大数据组件运维经验,熟悉CDH、Kafka、Flink、trino、StarRocks、ClickH…
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工作职责
1.负责大数据(实时、离线)平台管理、维护、调优等工作 2.合理规划大数据平台资源,提高大数据平台资源利用率 3.关注前沿大数据技术, 参与数据平台建设
包括英文材料
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.
Kafka+
https://developer.confluent.io/what-is-apache-kafka/
https://www.youtube.com/watch?v=CU44hKLMg7k
https://www.youtube.com/watch?v=j4bqyAMMb7o&list=PLa7VYi0yPIH0KbnJQcMv5N9iW8HkZHztH
In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.
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 •••
相关职位
社招3-5年研发类
1、负责显示数据体系建设,包括数据采集、数据沉淀、数据库维护、数据报表搭建等,并具备对关键问题的数据洞察和分析能力; 2、承接产品团队及赛道的数据监控及洞察需求,通过输出分析结论来定位产品问题场景及跟踪策略优化和落地; 3、负责用户显示相关行为的探索分析,持续提升显示开发团队对用户具体怎么使用手机的显示相关认知,进而提升业务决策的科学性; 4、负责手机屏幕显示相关的洞察分析,通过不同人群的显示相关功能开启、留存、变更等行为数据挖掘,洞察显示业务机会点,助力显示产品商业成功。
更新于 2025-07-07西安|深圳
校招
1. 参与公司大数据平台的开发与优化,负责数据采集、清洗、存储及处理流程的实现; 2. 开发和维护高效、稳定的数据处理任务,支持业务数据需求; 3. 协助进行大数据相关技术的研究与应用,优化系统性能; 4. 配合团队完成数据分析、报表生成及相关工具开发工作。
更新于 2025-08-15深圳