顺丰YWS-数据开发工程师(财务)
社招全职3-5年地点:深圳状态:招聘
包括英文材料
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
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.
HDFS+
https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html
The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware.
https://www.ibm.com/cn-zh/think/topics/hdfs
Hadoop 分布式文件系统 (HDFS) 是一种管理大型数据集的文件系统,可在商用硬件上运行。
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL?简单地说,SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
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.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
相关职位
社招3-5年
1、人资、财务、采购综合相关的业数底盘模型、报表研发 2、人资、财务、采购综合数据的准确性时效性监控和优化 3、人资、财务、采购综合内部数据资产建设,存量表及新增表管理,以及日常的运维工作 4、人资、财务、采购综合相关数据分析、数据产品、数据变现等分析型工作
更新于 2025-09-02
社招3-5年
1、人资、财务、采购综合相关的业数底盘模型、报表研发 2、人资、财务、采购综合数据的准确性时效性监控和优化 3、人资、财务、采购综合内部数据资产建设,存量表及新增表管理,以及日常的运维工作 4、人资、财务、采购综合相关数据分析、数据产品、数据变现等分析型工作
更新于 2025-09-03