Hadoop Professional

Key Responsibilities :

• Cluster Management : Design, implement, and manage large-scale Hadoop clusters to support business data requirements.
• Configuration & Tuning : Configure and optimize Hadoop components, including HDFS, MapReduce, YARN, and Hive, for maximum performance and stability.
• ETL Development : Develop and maintain custom applications and scripts to extract, transform, and load (ETL) data into the Hadoop ecosystem.
• Integration : Integrate Hadoop with other Big Data tools and technologies to enable comprehensive data solutions.
• Maintenance & Upgrades : Perform regular maintenance, patching, and version upgrades to ensure cluster reliability and high availability.
• Monitoring & Troubleshooting : Continuously monitor Hadoop environments, identify potential issues, and resolve technical problems promptly.
• Collaboration : Work closely with data scientists, analysts, and other teams to understand data processing needs and optimize Hadoop usage.
• Documentation : Maintain detailed documentation of configurations, processes, and best practices.

Education & Experience :

Skills Required

Hadoop Ecosystem, Mapreduce, Hiveql, Pig Latin