
Big Data Administrator
3 weeks ago
Job Description :
Key Responsibilities :
Big Data & Hadoop Administration :- Deploy and administer Hadoop distributions such as Hortonworks, Cloudera, and Apache Hadoop/Spark ecosystem
- Manage and maintain components such as :
1. HDFS, YARN
2. Apache Kafka, Apache NiFi
3. Apache HBase, Apache Spark
4. Apache ZooKeeper, Apache Solr
5. Redis, and other ecosystem services
- Use tools like Ambari, Cloudera Manager, or other monitoring platforms for cluster health and performance management
- Perform capacity planning and maintenance for HBase and Solr clusters
- Ensure high availability, reliability, and performance of big data applications
- Collaborate with application, database, and network teams for seamless infrastructure integration
Linux & System Administration :
- Install, configure, and maintain Linux operating systems
- Manage network configurations, system performance, and troubleshooting
- Handle system-level issues that impact big data services
Scripting & Automation :
- Develop and maintain Unix Shell scripts and Ansible playbooks for process automation and system provisioning
- Automate regular administrative tasks to improve efficiency and reduce manual overhead
Customer Interaction & Support :
- Work directly from customer locations, providing on-site technical support and issue resolution
- Coordinate with QA and Engineering teams for escalations and bug resolution
- Ensure timely issue handling and resolution aligned with SLA commitments
Virtualization :
- Administer and manage KVM virtualization environments for virtual machine provisioning and resource management
Required Qualifications :
- Proven experience with Hadoop ecosystem deployment, configuration, and troubleshooting
- Solid understanding of Linux system administration, shell scripting, and network management
- Experience managing large-scale distributed systems and services
- Hands-on experience with tools like Ambari, Cloudera Manager, and monitoring solutions
- Good knowledge of scripting languages like Shell, Ansible, or Python
- Understanding of KVM virtualization concepts and administration
- Strong problem-solving skills and attention to detail
- Good communication and interpersonal skills to work effectively with customers and internal teams
Preferred Qualifications :
- Prior experience working on-site at customer locations
- Exposure to DevOps tools and practices
- Knowledge of cloud-based big data deployments (AWS, Azure, GCP)
- Experience in performance tuning, backup strategies, and security hardening for Hadoop clusters
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