Senior Hadoop Cluster Engineer
3 weeks ago
Estimated salary: ₹15,00,000 - ₹20,00,000 per annum.
About the RoleSmartavya Analytica Private Limited is seeking an experienced Hadoop Administrator to lead our Big Data ecosystem and drive business growth. The ideal candidate will have 5+ years of experience in managing and supporting large-scale Hadoop environments.
Job Responsibilities- Cluster Administration: Install, configure, and manage Hadoop clusters, including HDFS, YARN, Hive, HBase, and other ecosystem components.
- Performance Monitoring: Monitor and manage Hadoop cluster performance, capacity, and security.
- Maintenance and Upgrades: Perform routine maintenance tasks such as upgrades, patching, and backups.
- Data Ingestion: Implement and maintain data ingestion processes using tools like Sqoop, Flume, and Kafka.
- High Availability: Ensure high availability and disaster recovery of Hadoop clusters.
- Collaboration: Collaborate with development teams to understand requirements and provide appropriate Hadoop solutions.
- Troubleshooting: Troubleshoot and resolve issues related to the Hadoop ecosystem.
- Experience: Experience in installing, configuring, and tuning Hadoop distributions.
- Cloudera Expertise: Hands-on experience in Cloudera.
- Understanding: Understanding of Hadoop design principles and factors that affect distributed system performance, including hardware and network considerations.
- Infrastructure Management: Provide infrastructure recommendations, capacity planning, workload management.
- Cluster Maintenance: Manage large clusters with huge volumes of data, perform cluster maintenance tasks, create and remove nodes, and monitor and troubleshoot clusters.
- Security: Install and implement security for Hadoop clusters, manage and review Hadoop log files.
- Update Management: Install Hadoop updates, patches, and version upgrades, automate the same through scripts.
- Vendor Escalation: Point of contact for vendor escalation, work with Hortonworks in resolving issues.
- Data Management: Conceptual/working knowledge of basic data management concepts like ETL, reference/master data, data quality, RDBMS.
- Scripting: Working knowledge of any scripting language like Shell, Python, Perl.
- Orchestration: Experience in orchestration & deployment tools.
- Certifications: Cloudera and CDP certifications are mandatory.
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