· 8+ years of overall experience in systems management and administering Linux/Unix server hardware and operating system.

· Requires a Bachelor’s degree in computer science or related field and 4-10 years of experience in end-to-end Data Warehouse application development and deployment.

· Well versed in installing & managing distributions of Hadoop (CDH3, CDH4, Cloudera manager, MapR, Hortonworks etc.).

· 3+ Years of experience in Architecting Hadoop/Big Data applications and environments.

· Minimum 2-3 years of experience in deploying and administering a multi-petabyte Hadoop cluster and managing HDFS, Hue and all the related Hadoop tools.

· Expertise and hand-on experience with the Hadoop ecosystem – MapReduce, HDFS, HBase and Hive/Pig.

· Expertise in Python/PERL/Shell scripting and hands-on programming skills.

· Experience in Linux/Unix technologies and Shell scripting along with Perl or Python.        Experience in Java a plus.

· Advanced knowledge in performance troubleshooting and tuning Hadoop clusters.

· Deep understanding and experience with Hadoop/Big Data Concepts and Technologies.

· Good knowledge of Hadoop cluster connectivity and security.

· Sound knowledge of relational databases (SQL). Experience with large SQL based systems like Teradata is a plus.

· Experience in troubleshooting Map Reduce job failures and issues with Hive, Pig, HBase etc.

· Hands-on experience with large scale Big Data environments build, capacity planning, performance tuning and monitoring.

· Design, configure and manage the backup and disaster recovery for Hadoop data.

· Familiar with industry best practices and how to drive efficiencies while maintaining a robust service offering.

· Development experience in Hive, PIG, HBase is desired. Hands-on development experience with Java programming is a plus.

· Strong IT consulting experience in handling huge data volumes, architecting big data environments.

· Excellent knowledge of Hadoop integration points with enterprise BI and EDW tools.

· Familiarity with installing and configuring monitoring tools for the Hadoop environment.

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