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Hadoop Admin

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Onsite

Hadoop Admin

Skyleaf Consultants

Hadoop Admin

Skills

NodeGitHadoop

10 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


Platform Operations & Administration

  • Administer and support Hadoop ecosystem clusters (e.g., HDFS, YARN, MapReduce) and related services to meet SLA/SLI targets for availability and performance.
  • Perform cluster provisioning, configuration, tuning, and day-to-day operational support (start/stop, health checks, service validation).
  • Manage multi-cluster environments (dev/test/prod), including standardization of configurations and operational procedures.

Installation, Upgrades & Lifecycle Management

  • Plan and execute platform upgrades, patching, and migrations with minimal downtime (including rolling upgrades where applicable).
  • Maintain platform compatibility matrix, validate integrations, and coordinate release rollouts with stakeholders.
  • Manage vendor distributions and tooling (e.g., Cloudera/HDP/Apache), including repository, parcels/packages, and version control.

Monitoring, Incident & Problem Management

  • Implement robust monitoring/alerting for platform and infrastructure (CPU, memory, disk, network, I/O, JVM, services, queues, HDFS capacity, GC, etc.).
  • Lead troubleshooting for incidents, perform root cause analysis (RCA), and drive corrective/preventive actions.
  • Own operational runbooks, on-call readiness, escalation processes, and continuous improvement of response/MTTR.

Performance Tuning & Optimization

  • Tune HDFS/YARN for workload performance and stability (scheduler/queue policies, resource limits, container sizing, node settings).
  • Optimize cluster performance through JVM tuning, service parameters, OS/kernel tuning, and workload analysis.
  • Identify and remediate bottlenecks (skew, small files, disk hotspots, network saturation, metadata pressure, etc.).

Capacity Planning & Reliability Engineering

  • Forecast growth and perform capacity planning for storage, compute, and service scaling.
  • Drive high availability and disaster recovery readiness (NameNode HA, ZK quorum health, backup/restore, replication, snapshots, DR drills).

Ensure data durability and operational resilience through proactive maintenance and reliability reviews.

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