招聘
必备技能
Java
AWS
Spark
Would you like to build highly available, scalable and distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you?
The Analytics & Data Management (ADM) team in Ads AI Core Infra owns the central datalake for Advertising unifying Petabytes of data generated across the Ads pipeline such as campaigns, ad-serving, billing, clicks, impressions and more and into a single scalable repository. This is used across the organization to drive hundreds of thousands of complex queries for analysis, measurement and reporting decisions for our customers. The data lake enables customers such as data engineers, business analysts, ML engineers, research scientists, economists and data experts to collect what they need via world-class self-service tools.
ADM is building the next version of its data lake for 5x growth. An SDE on the ADM team has a unique opportunity to design and innovate solutions for this scale, delivering robust and scalable microservices built over Java and AWS as well as innovate with big data technologies like Spark, EMR, Athena and more. You will create value that materially impacts the speed and quality of decision making across the organization resulting in tangible business growth.
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Key job responsibilities
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Engage with key decision makers such as Product & Program Managers to understand customer requirements and brainstorm on solutions
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Design, code and deploy components and micro-services for the core job management pipeline
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Ensure testability, maintanability and low operational footprint for your code
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Participate in operational responsibilities with your team
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Innovate on AWS technology to improve latency, reduce cost and operations
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A day in the life
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Focus on core engineering opportunities to guarantee system availability that matches our data growth
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Work with a skilled team of engineers, managers and decision makers to consistently meet customer demand
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Automate monitoring of data availability, quality and usability via simplified metrics and drive innovations to improve guarantees for our customers
About the team
The mission of the Analytics & Data Management (ADM) team is to provide data that helps the advertising organization make informed analyses and decisions for our customers and to determine and deploy investments for future growth via a set of central and unified products and services.
Our team focuses on simplicity, usability, speed, compliance, cost efficiency and enabling high-velocity decision making so our customers can generate high quality insights faster.
We are a global team with presence across IN and NA.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
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
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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