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eBay

Staff Software Engineer - Lakehouse

Reposted 10 Days Ago
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Develop features and frameworks for Hadoop, Spark, and Iceberg as part of eBay's Analytics Data Platform Team. Lead the design and implementation of technical solutions in a fast-paced agile environment focusing on big data applications.
The summary above was generated by AI

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.

What You Will Bring:

  • 10+ years of hands on experience Building Software with a focus on 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.

Nice to Have:

  • 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.

#LI-Hybrid

Additional Details

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.


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