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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 role
We are seeking an experienced Software Engineer with a strong background in Spark/Lakehouse table format technologies, responsible to build and optimize our next-generation lakehouse platform.
Our focus is on enhancing Spark stability/usability/performance and extending Iceberg's capabilities. Additionally, we are building internal storage and metadata services to power our lakehouse architecture.
Troubleshoot and resolve production issues, ensuring minimal downtime. Maintain and improve system monitoring, logging, and alerting.
What you will bring
A validated, successful track record of 5+ years with strong programming skills in either Java or Scala.
Comprehensive knowledge of Apache Spark’s internals, including Catalyst optimizer, Tungsten execution engine, shuffle mechanics, AQE, and memory management.
Solid understanding of file formats like Apache Parquet and table formats such as Apache Iceberg，Delta or Apache Hudi internals, including snapshots, manifests, partition specs, and table metadata.
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.
Excellent problem solving and analytical skill on both defect and performance issue resolution.
Good team player and able to work with global team
Plus Points
Contribution to related open source projects like Apache Spark/Iceberg
Experience in designing and implementing distributed systems.
Good understanding of other Hadoop related projects including HDFS/HBase/Yarn
Location and work model
This role follows eBay’s hybrid model, requiring three days per week in the office (unless otherwise stated).
The cool part
Shape the future of eBay’s Hadoop ecosystem and big-data infrastructure.
Work at global scale, driving analytics that power millions of eBay experiences.
Join a culture that encourages open-source contribution, innovation, and collaboration.
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