채용
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Team events and activities
•Flexible work arrangements
•Parental leave
•Equity
•Healthcare
•Flexible Hours
•Parental Leave
Required Skills
JavaScript
Node.js
Python
Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. The Customer Traffic Data team’s role is to answer who did what, where and when it was done, and how key metrics were impacted. Ultimately, we want to answer why customer behavior changes, and how to influence it.
Our group is responsible for ingesting and processing big data sets of website and mobile traffic and interactions, in order to identify and understand customer behavior. By understanding traffic flows and customer behavior across Amazon websites, Customer Traffic Data creates multi-million-dollar business opportunities allowing Amazon strong and sustained growth rates. Our traffic, customer interaction and attribution datasets power personalization, A/B testing, content optimization, internationalization, marketing spend allocation, product demand, customer conversion, selection reach and application performance (latency, errors, crashes).
We are looking for a passionate software development engineer to help us develop a robust, scalable distributed system supporting the needs of our analytics platform (data streaming, storage, processing) on top of native AWS technologies. We are innovating through the architecture decisions we make, systems and components that we build which always push the limits of what’s been done before in order to keep the pace with our track record of double the load at half the costs. As part of this team you will share in the ownership of the technical vision and direction for advanced analytics products. You will work with top-notch technical professionals developing complex systems at scale and with a focus on sustained operational excellence.
Above all, you should bring your passion for design, optimizations, scalability, operational excellence and clean code. Excited? We are looking forward to you joining us!
Key job responsibilities
In this role, you will have the opportunity to display your skills in the following areas:
- Design, implementation, and delivery of software in ambiguous and complex problem spaces (at the team level). Trade-offs, you will work on complex problems but your solutions must be as simple as possible.
- Work backwards from customer needs into improvements, features and new components for the platform
- Influence on your team technical and business strategy.
- Contribute in identifying and solving software deficiencies or areas where your team’s software bottlenecks the innovation.
- Think in terms of architecture, not just code.
- Think through functional, technical, security, performance, and scaling requirements.
- Explore and learn AWS technologies to provide new capabilities and increase efficiency.
- Ability to resolve the root cause of complex problems, leaving software better and easier to maintain.
About the team
The Data Mobility Solutions (DMS) team, part of Customer Traffic Data, builds systems that efficiently move and integrate Petabytes of data across Amazon's platforms. We operate robust data lakes and pipelines, enabling informed decision-making and data-driven innovation throughout the company. Join us to work on scalable, reliable, and secure data management solutions that drive Amazon's growth.
Basic Qualifications
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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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About Amazon

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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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