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Tier-1 employer and metro Hyderabad increase applicant density despite senior, specialized role.
Highly specialized distributed data platform skills (Java, Kafka, Iceberg) limit cross-industry transferability.
Explicit 15–20 years requirement plus mandatory Java, Kafka, Iceberg, Kubernetes makes hiring filters very strict.
Architect and build large-scale distributed systems and platform components with a focus on data ingestion, scalability, and operational excellence.
Lead complex technical initiatives providing hands-on engineering and technical leadership for projects with significant complexity and risk.
Develop foundational libraries, frameworks, and tools with emphasis on modularity, extensibility, and maintainability.
15–20 years of hands-on engineering experience in distributed systems, data platforms, or large-scale backend infrastructure.
Deep expertise in Java programming, including JVM internals, performance tuning, and concurrency.
Experience with Kubernetes, Apache Kafka, Apache Iceberg, Apache Flink, and Apache Spark in production environments.
Work Experience Required: 15–20 years; Notice Period: Not explicitly mentioned in the JD.
Highly experienced senior engineer able to lead and deliver complex, high-risk distributed system projects.
Strong background in designing fault-tolerant, highly available data platforms using modern cloud-native and big data technologies.
Operational mindset with experience in DevOps environments and production troubleshooting of scalable data systems.