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Tier‑1 brand and Bangalore metro increase competition, but niche senior Hadoop specialization limits applicant density.
Role requires specialized Hadoop and large-scale data platform expertise, reducing cross-industry transferability.
Explicit 10+ years and mandatory Hadoop/Java/Scala and platform expertise create strict shortlisting filters.
Lead architectural enhancements and ensure high availability and scalability of massive Hadoop and open-source data platforms at petabyte-scale.
Own end-to-end execution of complex data processing pipelines and platform frameworks focused on performance optimization and reliability in distributed environments.
Design and deliver advanced tooling for data access, governance, cluster management, and drive ecosystem integration across enterprise platforms.
10+ years of software design and distributed systems development experience.
Expert-level proficiency in Java and/or Scala with strong foundations in algorithms, concurrency, and data structures for distributed computing.
Comprehensive knowledge of Linux/Unix internals, network topologies, and distributed systems diagnostics.
Hands-on architectural expertise with big data frameworks such as Hadoop, Spark, Apache Iceberg, and Apache YuniKorn.
Experienced technologist with a track record of delivering complex, high-performance infrastructure products in fast-paced enterprise environments.
Deep understanding of large-scale distributed system failures, performance tuning, and optimization.
Strong ability to lead both technical execution and architectural strategy across multi-node, high-availability data platforms.