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Tier-1 brand and Bengaluru metro increase competition but senior, specialized skillset limits applicant density.
Requires specialized Spark internals, Iceberg and large-scale distributed-systems experience, limiting cross-industry transferability.
Explicit 8+ years plus mandatory deep Spark, Iceberg, and Java/Scala expertise creates strict shortlisting filters.
Build and optimize eBay's next-generation lakehouse platform focusing on Spark stability, usability, and performance.
Enhance Apache Iceberg capabilities and develop internal storage and metadata services for lakehouse architecture.
Troubleshoot and resolve production issues with emphasis on minimal downtime and improve system monitoring, logging, and alerting.
8+ years of software engineering experience with strong programming skills in Java or Scala.
Deep knowledge of Apache Spark internals including Catalyst optimizer, Tungsten engine, shuffle mechanics, AQE, and memory management.
Experience with file formats (Apache Parquet) and table formats like Apache Iceberg, Delta, or Apache Hudi including metadata components.
Familiarity with Linux/Unix systems and networking concepts relevant to distributed environments.
Proven ability to develop complex, production-grade distributed systems related to big data lakehouse platforms.
Experience using AI coding tools (e.g., Claude Code, Codex) to improve engineering velocity while maintaining quality and maintainability.
Background contributing to or working with open source projects such as Apache Spark or Iceberg, and understanding Hadoop ecosystem projects like HDFS, HBase, Yarn.