vivo助理大数据工程师
社招全职3年以上产品运营类地点:东莞状态:招聘
包括英文材料
ETL+
https://www.ibm.com/think/topics/etl
ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system.
https://www.youtube.com/watch?v=OW5OgsLpDCQ
It explains what ETL is and what it can do for you to improve your data analysis and productivity.
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.
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.
ClickHouse+
[英文] Advanced Tutorial
https://clickhouse.com/docs/tutorial
Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.
https://www.youtube.com/watch?v=FtoWGT7kS-c
ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.
https://www.youtube.com/watch?v=Rhe-kUyrFUE&list=PL0Z2YDlm0b3gcY5R_MUo4fT5bPqUQ66ep
Oracle+
[英文] Oracle Tutorial
https://www.oracletutorial.com/
On this website, you can learn Oracle Database fast and easily.
https://www.youtube.com/watch?v=QHYuuXPdQNM&list=PL_c9BZzLwBRJ8f9-pSPbxSSG6lNgxQ4m9
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
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