Job Description

Experience Required: 10+ Years

Required Technical/Functional Skills

• 10+ years of experience working with the Hadoop ecosystem and large-scale distributed data platforms.
• Strong hands-on experience with:
  • HDFS
  • Apache Hive
  • Apache Spark
  • Apache Ozone
• Strong experience with Hive Metastore management, including table and partition maintenance.
• Experience with Hadoop data lifecycle management, storage management, and data retention.
• Strong knowledge of data ingestion, ETL processes, data validation, and troubleshooting.
• Proficiency in SQL, Shell scripting, and Python automation.
• Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions.
• Strong data analysis, troubleshooting, and root cause analysis skills.

Roles & Responsibilities

• Monitor, troubleshoot, and resolve HDFS and Apache Ozone issues.
• Investigate Hadoop cluster performance, storage utilization, capacity, and availability concerns.
• Manage storage allocation, quota requests, capacity planning, and storage forecasting.
• Perform Hive Metastore administration, including table and partition maintenance.
• Support Hadoop platform maintenance, upgrades, integrations, onboarding, and decommissioning activities.
• Support data ingestion, ETL workflows, and data validation processes.
• Develop and maintain Shell and Python automation scripts for operational activities.
• Collaborate with application, data engineering, and platform teams during incident, problem, and change management activities.
• Perform root cause analysis and implement corrective and preventive actions.
• Create and maintain runbooks, operational documentation, knowledge articles, and support procedures.
• Ensure effective Hadoop data lifecycle, storage, and quota governance.

Preferred / Desired Skills

• Experience supporting large-scale, multi-petabyte Hadoop environments.
• Strong understanding of distributed storage architecture, replication, and fault tolerance.
• Experience with capacity management, storage forecasting, quota governance, and utilization optimization.
• Experience with Hadoop platform onboarding, integration, migration, and decommissioning.
• Familiarity with AWS, Azure, or GCP cloud platforms.
• Experience with monitoring and observability tools such as Cloudera Manager, Grafana, Splunk, and Prometheus.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience performing Root Cause Analysis (RCA) for complex production issues.
• Strong communication and collaboration skills. 

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