Hadoop Admin - SRE

Location: Prakāshamnagar

Key Responsibilities:

Administer, monitor, and support the Hadoop ecosystem including  HDFS, YARN, Hive, HBase, Spark, Kafka , and related big data services.
Manage and maintain  Spark workloads  for both batch and streaming applications, ensuring performance and resource efficiency.
Deploy, manage, and troubleshoot Hadoop/Spark clusters on  Kubernetes  platforms.
Ensure  site reliability  by implementing proactive monitoring, alerting, incident response, and root cause analysis (SRE best practices).
Automate infrastructure provisioning, configuration, and application deployments using  Infrastructure as Code (IaC)  and scripting.
Monitor system performance and plan capacity to optimize cluster resource utilization.
Manage  AWS infrastructure  components including EC2, S3, EKS (Kubernetes), IAM, VPC, and other cloud services.
Implement security best practices such as  Kerberos , access controls, encryption, and service authentication.
Perform cluster upgrades, patching, backups, and disaster recovery planning and execution.
Collaborate with data engineering, Dev Ops, and application teams for seamless integration and operations.
Provide  L2/L3 production support  and participate in on‑call rotations for critical incident handling.