
神州数码高级技术支持工程师(J23647)
社招全职5年以上地点:上海状态:招聘
工作描述
任职要求 1. 计算机科学或相关专业本科或硕士学位 2. 5年以上技术支持和1年以上服务管理经验 3. 有在大型复杂web服务和技术环境中管理企业支持的经验 4. 具有以客户为中心的思维模式和卓越的内部服务能力以及外部客户关怀 5. 熟悉SLA、KPI以及可以根据客户要求完成部门SLA目标以及KPI关键指标 6. 熟悉ITIL,能够为团队制定及优化工作、职责流程 7. 在必要时面向团队和客户能够提出问题解决方案,根本原因分析和纠正措施 8. 具有较强的中英文、口头及书面的技术及管理相关沟通能力和谈判能力 9. 对一个或多个工单系统有丰富的经验,Salesforce云服务优先 10. 熟悉Amazon AWS (SQS, SNS, API Gateway, S3, Route 53)和/或类似的服务11. 在微软Azure生态系统,谷歌云中的运用 12. 有使用ETL, ELT工具的经验,如AWS Glue, EMR, Azure Data Factory, Informatica,数据管道 13. 具备Spark、Kafka等大数据系统的使用经验 14. 基本的SQL经验/使用 15. 掌握使用各种数据库连接问题的故障排除经验方法(客户端软件、驱动/连接器) 16. 具备ODBC, JDBC, GO, .Net等驱动程…
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包括英文材料
学历+
Web+
https://web.dev/learn
Explore our growing collection of courses on key web design and development subjects.
AWS+
https://aws.amazon.com/
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
S3+
https://aws.amazon.com/s3/getting-started/
You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere.
https://www.youtube.com/watch?v=tfU0JEZjcsg
Amazon S3 is the oldest and one of the most popular services on AWS.
Azure+
https://azure.microsoft.com/
Invent with purpose, realize cost savings, and make your organization more efficient with Microsoft Azure’s open and flexible cloud computing platform.
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.
Informatica+
[英文] Informatica Tutorial
https://www.tutorialgateway.org/informatica/
In this Informatica tutorial, we will show you the step-by-step process of connecting with different data sources.
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.
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.
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.
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程!从开始到结束不到一个小时,包括如何在Go中构建API的完整演示。没有多余的内容,只有你需要知道的知识。
还有更多 •••
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