Experience Required 5–8 years of overall IT experience, with at least 3–5 years of hands-on experience in Big Data platform administration and Linux systems.

Job Summary We are seeking an experienced Senior Big Data Platform Administrator to manage and support our enterprise Big Data infrastructure. The ideal candidate will have strong expertise in the Hadoop ecosystem, Linux administration, distributed systems, and platform monitoring tools. This role involves ensuring platform performance, availability, scalability, and security across production and non-production environments.

Key Responsibilities Administer and support Hadoop ecosystem components (HDFS, YARN) across Production, Test, and Development environments

Manage and maintain Apache Spark and Airflow infrastructure

Monitor cluster health, troubleshoot performance issues, and optimize system performance

Implement and maintain High Availability (HA), Disaster Recovery (DR), backup, and restore strategies

Manage logging, monitoring, and alerting systems using Prometheus, Grafana, and ELK Stack

Perform Linux (Ubuntu) system administration, including patching, upgrades, and security hardening

Develop and maintain automation scripts using Shell and/or Python

Handle Kerberos authentication setup and maintenance

Support incident management, root cause analysis (RCA), and ensure SLA adherence





Manage capacity planning and system scalability

Follow CI/CD and DevOps best practices for platform improvements and deployments Skills Required Mandatory Skills: Strong experience with Hadoop ecosystem (HDFS, YARN)

Hands-on experience with Apache Spark and Airflow

Expertise in Linux (Ubuntu) administration

Experience in implementing High Availability (HA) and Disaster Recovery (DR) Optional Skills Experience with Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana)

Knowledge of Shell/Python scripting for automation

Experience with Kerberos authentication

Strong understanding of distributed systems, cluster management, and performance tuning

Familiarity with CI/CD pipelines and DevOps practices Preferred Qualifications Experience in managing large-scale on-premises Big Data environments

Certification in Hadoop, Linux, or Cloud/DevOps technologies will be an added advantage Educational Qualification Bachelor’s Degree in Engineering (B.E) – Computer Science / Information Technology Key Competencies Robust problem-solving and analytical skills

Excellent troubleshooting and debugging abilities

Good communication and collaboration skills

Ability to work in high-pressure, production-critical environments

Proactive and self-driven mindset

📌 Senior Big Data Platform Administrator (Chennai)
🏢 Larsen u0026 Toubro
📍 Chennai