Hadoop Developer

PB consulting

Montana

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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Vacancy posted 4 days ago

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