Jobs
Required Skills
Java
Scala
Hadoop
Linux/Unix
Shell scripting
e Bay Job Description
About e Bay
At e Bay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About the Team
Cloud Data Technology (CDT) is a global team responsible for the end-to-end e Bay technology platform. This platform runs our entire infrastructure and all the services that come together to form ebay.com.
Responsibilities
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Enhance System Availability and Scalability: Spearhead efforts to optimize Hadoop-related projects, ensuring the system is highly available and scalable to meet e Bay's growing data demands. Your work will be pivotal in maintaining uninterrupted service and accommodating future growth, supporting e Bay's strategic objectives.
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Drive High-Impact Projects: Lead initiatives that directly contribute to e Bay's ability to efficiently process and analyze vast amounts of data. Your enhancements will bolster system performance and reliability, vital for sustaining e Bay's competitive edge.
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Develop Innovative Solutions: Create and refine customer-facing tools that improve user experience and operational efficiency. Your contributions will streamline data access and management, making it easier for stakeholders to leverage insights.
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Enhance Integration: Ensure seamless integration of Hadoop systems with other platforms, fostering a cohesive data ecosystem. Your work will enable cross-functional teams to reduce the manual work, utilize data insights effectively, driving informed decision-making across the organization.
Qualifications
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Validated successful track record of 5+ years of software engineering design and development experience with solid background of open source technology.
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Strong programming skills in languages commonly used with Hadoop, such as Java, Scala.
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Knowledge of common algorithms and data structures to write efficient and optimized code.
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Familiarity with Linux/Unix systems, including shell scripting and system commands.
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Understanding of networking principles, as Hadoop often operates in distributed environments.
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Analytical skills to tackle complex distributed system challenges and optimize solutions.
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Experience with big data technologies and frameworks such as Hadoop, Spark, Iceberg, Yuni Korn, etc.; contribution to related open source projects is a plus.
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Excellent problem solving and analytical skill on both defect and performance issue resolution.
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Proven result oriented individual with delivery focus in a high velocity, high quality environment.
Equal Opportunity
e Bay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility for people with disabilities.
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About eBay

eBay
PublicBuy, sell, and discover.
10,001+
Employees
San Jose
Headquarters
Reviews
3.8
5 reviews
Work Life Balance
4.2
Compensation
2.5
Culture
4.0
Career
2.8
Management
3.5
Pros
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
Cons
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
Salary Ranges
2,741 data points
Mid/L4
Mid/L4 · Business Analyst, ALDP
1 reports
$178,250
total / year
Base
$155,000
Stock
-
Bonus
-
$178,250
$178,250
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Technical Phone Screen
4
Technical Interview Rounds
5
Final Review
Common Questions
Coding/Algorithm
Technical Knowledge
Problem Solving
Data Structures
News & Buzz
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