Description

You will design and develop HDFS-based solutions using HiveQL to generate reports.

Responsibilities

• Build Sqoop jobs to import and export data from Hadoop environments.
• Set up Hive structures and migrate them between environments.
• Troubleshoot issues related to Hive, Impala, Spark, and Sqoop.
• Monitor Hadoop cluster job performance and perform end-to-end tuning of MapReduce routines against large datasets.
• Manage HDFS support, file system monitoring, and Linux/Hadoop log file reviews.

Required Skills

• 5+ years of experience in Hadoop development.
• Proficiency with Hive, HBase, MapReduce, and Spark.
• Strong experience with SQL and RDBMS utilities.
• Hands-on with Shell scripting and Python for automation.
• Experience using Sqoop for data movement.
• Competency with Eclipse, XML, and JSON.
• Any Graduate degree.

Key Skills

Education

Any Graduate