Senior Hadoop Software Engineer

At eBay, 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 eBay technology platform. This platform runs our entire infrastructure and all the services that come together to form ebay.com.

Responsibilities:

• 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.

Qualifications:

• Validated successful track record of 5+ years of software engineering design and development experience with solid background of open source technology.

• Strong programming skills in languages commonly used with Hadoop, such as Java, Scala.  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.

• Experience with big data technologies and frameworks such as Hadoop, Spark, Iceberg, YuniKorn, etc., contribution to related open source projects is a plus.

• Excellent problem solving and analytical skill on both defect and performance issue resolution.

• Proven result oriented individual with delivery focus in a high velocity, high quality environment.

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