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Staff Hadoop Software Engineer
eBay
Bengaluru, IND
Full-time
Senior · 10+ years experience
Hybrid
Discovered Today
JavaScalaHadoopSparkApache IcebergApache YuniKorn
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JavaScalaHadoop
Key Skills for This Role
JavaScalaHadoopSparkApache IcebergApache YuniKorn
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Responsibilities
- Architect Distributed Scalability & High Availability: Lead architectural enhancements across massive Hadoop and open-source data platforms, ensuring elite system availability, fault tolerance, and zero-downtime scaling to support petabyte-scale growth and strategic enterprise initiatives.
- Drive High-Impact Infrastructure Initiatives: Own end-to-end technical execution of complex data processing pipelines and platform frameworks, optimizing resource utilization, throughput, and performance reliability across distributed environments.
- Engineer Developer & Operational Tooling: Design and deliver advanced internal and customer-facing tools that streamline data access, governance, and cluster management, empowering cross-functional engineering teams to extract insights efficiently.
- Architect Ecosystem Integration: Champion seamless interoperability between Hadoop data layers and broader enterprise platforms, eliminating operational silos and automating workflows to foster a cohesive, data-driven organizational ecosystem.
Qualifications & Technical Expertise
- Extensive Engineering Experience: 10+ years of software design and distributed systems development, backed by a deep mastery of open-source technologies, large-scale cluster architectures, and enterprise production environments.
- Advanced Programming & Computer Science Foundations: Expert-level proficiency in Java and/or Scala, with a robust command of algorithms, concurrency models, and data structures tailored for high-performance, low-latency distributed computing.
- Distributed Systems & Infrastructure Depth: Comprehensive mastery of Linux/Unix internals, network topologies, and distributed computing principles required to diagnose and resolve complex multi-node failure modes and bottlenecks.
- Big Data Ecosystem Mastery: Hands-on architectural expertise with modern big data frameworks (Hadoop, Spark, Apache Iceberg, Apache YuniKorn); active history of open-source project contributions or upstream community engagement is strongly preferred.
- Complex Troubleshooting & Performance Tuning: Proven diagnostic acumen in root-cause analysis, memory profiling, and systemic performance tuning for large-scale distributed defects and throughput constraints.
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