Software Engineer - Data Platform

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 and the role:

Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases. We are seeking a Software Engineer passionate about data-driven technologies and architectures.

What you will accomplish:

• Data Architecture Support: Assist in designing and enhancing data architecture to support real-time and batch processing, focusing on scalability and fault tolerance using technologies like Apache Kafka and Apache Flink.

• Data Semantics and Discovery: Contribute to implementing systems for effective data semantics management, ensuring data is accurately categorized and easily discoverable.

• Pipeline Automation: Support the development and maintenance of automated data pipelines to ensure efficient data flow and processing.

• Data Consumption Optimization: Help to create strategies for generating materialized views and data subsumption to optimize data architecture performance.

• Cross-functional Collaboration: Collaborate with data scientists, business analysts, and other engineering teams to define and refine data solution requirements.

• Innovation and Research: Stay updated on industry developments in data engineering and suggest new technologies or methodologies to enhance data infrastructure.

What you will bring:

• Experience with Apache Kafka, Apache Flink, or similar streaming technologies

• Experience of designing and developing large-scale software applications using Object-Oriented Design and JVM languages (Java, Scala)

• Basic knowledge of data semantics, discovery processes, and data governance.

• Proficiency in designing and implementing automated data pipelines.

• Proficiency in programming languages such as Java, Scala, or Python.

• Bachelor or MS degree in Computer Science or related field

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