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GSS - Tech Sourcing Recruiter AWS , WWAS TA C Sourcing
We are looking for a skilled and motivated Tech Sourcer to support talent acquisition for Data Center Engineering and Infrastructure Operations roles across North America (USA). The ideal candidate will have a strong understanding of the technical landscape for data center, facilities, and critical infrastructure roles, and will excel at identifying and engaging passive talent in Tech domain.
This is a contractual role
- Locations
- Hyderabad
Shift Timing - 6:00 pm - 3:00 am IST
Key job responsibilities
- 1.
Data Center and Infrastructure Hiring:
- Experience sourcing for data center operations, critical facilities, or Industrial/ Mechanical/ Electrical/ IT infrastructure roles/ cloud architecture (AWS, Azure, GCP), with relevant Academic backgrounds including degrees or certifications in Electrical Engineering, Mechanical Engineering, Computer Sciences, HVAC, Electrician trades, Facilities Maintenance, and IT-related Field will be required.
- 2.
Boolean and Advanced Search:
- Ability to create targeted Boolean strings to identify candidates with niche technical skills across LinkedIn, X-ray search/ Open web, GitHub, trade forums and specialized job boards will be an added advantage.
- 3.
Candidate Engagement for Passive Talent:
- Skilled at requirement gathering, sourcing and screening candidates in specialized technical fields, with ability to articulate role-based value proposition to the candidate. The role holder will also be responsible for building strategies and brainstorming to create efficient and creative sourcing solutions for stakeholders.
A day in the life
1. Proven ability and sharp on the feet to proactively source passive candidates using Boolean search, LinkedIn Recruiter, GitHub, X-ray search/ Open web and other sourcing channels for remote sites.
2. Experience in conducting candidate outreach and engagement to build interest and assess right fit, with ability to filter the right candidates during recruiter phone screen.
About the team
The role holder will be a part of Global Strategic Sourcing (GSS) team, which is a central sourcing team for WW Amazon Talent Acquisition (ATA) team. We scout bar raising talent spanning across Americas (NA, LATAM), Europe, AMET and India, to enable and scale cost-efficient sourcing solutions in Tech, Non-Tech and High volume space.
Basic Qualifications
- 4+ years of corporate or search firm progressive recruiting or research experience
- Bachelor's degree, or 2+ years of full-time Amazon experience
- Experience with contact management system/applicant tracking system for sourcing, tracking and managing candidates
- Ability to curate market intel for saturated markets
Preferred Qualifications
- Experience managing high volume as well as niche hiring
- Experience leading or participating in technology hiring events, technology mixers, and regular attendance and participation at technology meetups and technology user groups
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试评价
6条评价
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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