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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 and the role:
Our Hadoop team plays a pivotal role in eBay's data infrastructure, ensuring robust and scalable solutions for data processing and storage. We are aligned with eBay's strategic goals to leverage data-driven insights for enhanced decision-making and customer experience. By managing and optimizing Hadoop-related projects, we support the company's commitment to innovation and operational excellence.

The role within the Hadoop team involves:

Scope: Overseeing and enhancing Hadoop-related projects to meet eBay's extensive data scale requirements, creating customer-facing tools, and ensuring smooth integration with other systems.
Impact: Directly influencing eBay's data strategy by enhancing data processing capabilities, improving system performance, and driving innovation across the organization

What you will accomplish:

Enhance System Availability and Scalability: Spearhead efforts to optimize Hadoop-related projects, ensuring the system is highly available and scalable to meet eBay’s growing data demands. Your work will be pivotal in maintaining uninterrupted service and accommodating future growth, supporting eBay’s strategic objectives.
Drive High-Impact Projects: Lead initiatives that directly contribute to eBay’s ability to efficiently process and analyze vast amounts of data. Your enhancements will bolster system performance and reliability, vital for sustaining eBay's competitive edge.
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.
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.

What you will bring:

Bachelor’s degree in Computer Science, Information Technology, or a related field.
Strong programming skills in languages commonly used with Hadoop, such as Java, Scala, Python. Knowledge of common algorithms and data structures to write efficient and optimized code.
Familiarity with Linux/Unix systems, including shell scripting and system commands. Understanding of networking principles, as Hadoop often operates in distributed environments. Overall, the candidate is expected to have analytical skills to tackle complex distributed system challenges and optimize solutions.
[Optional]Experience with big data technologies and frameworks, contribution to related open source projects is a plus.

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Senior Hadoop Software Engineer

Job Description