
Organizing the world's information and making it universally accessible.
Data Center Facilities Technician II, Controls
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Inspect, maintain, and repair various data center systems such as servers, network equipment, PLCs, system administration, access control, alarm investigation, and SCADA management.
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Provide daily assistance to technicians as you read blueprints/schematics/ladder logic/sequence of operations, conduct tours of systems, and assess their working order.
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Control, monitoring, logging, and alarming systems.
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Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
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Support startup, commissioning, and integration of new controls equipment and systems into facilities infrastructure.
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Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
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5 years of experience in controls/automation in an industrial or commercial environment.
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Experience with control panels, controllers, electrical safety, and electrical systems.
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Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs of equipment, the required use of OSHA standard safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective equipment (PPE) like safety harnesses.
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Ability to work non-standard hours and differing work rotations/shifts.
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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
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
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
最新动态
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