招聘
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Develop an understanding of Google Cloud's Data Analytics (e.g. Big Query), AI/ML, and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and diagnosis.
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Act as a consultant and subject-matter-expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
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Work as a part of a team of Engineers/Consultants that globally ensure 24 hour customer support. This may include a need to sometimes work non-standard work hours or shifts.
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Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, and drive production.
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Work with customers on their production deployment to resolve issues and achieve product readiness and availability.
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Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
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5 years of experience with two or more of the following: Web Tech, Data/Big Data, Machine Learning, Systems Admin, Networking, Kubernetes.
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5 years of experience reading or debugging code in one or more general purpose languages (e.g. Python, Java, Go, C or C++).
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Ability to communicate in Japanese and English fluently to communicate with external and internal stakeholders.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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