Staff Software Engineer - Lakehouse
About The Position
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 We are part of the Analytics Data Platform Team within eBay, working with a mission towards improving availability, security, performance, tools and other features within Analytics Platform. 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. What You Will Accomplish 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.
Requirements
- 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.
- Great teammate and able to work with a global team.
Nice To Haves
- 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.
Responsibilities
- Troubleshoot and resolve production issues, ensuring minimal downtime.
- Maintain and improve system monitoring, logging, and alerting.
Benefits
- The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave).
- Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
