• Good knowledge on major components of Big Data related technologies, such as Hadoop (HDFS, Mapreduce), Hive, PIG, Sqoop, Hbase and spark technology
• Knowledge in analyzing data using HiveQL, PIG Latin.
• Having good knowledge on creating tables using partitioning, bucketing and usage of optimization techniques in hive.
• Good exposure to setup hadoop environment using Cloudera Hadoop Distributions.
• Knowledge on integrations with Pig and HBase.
• Knowledge on loading and transforming large sets of structured, semi structured and unstructured data.
• Knowledge on Data Transformations, Data cleansing using PIG operations.
• Having good knowledge on Hive and PIG queries for data analysis.
• Knowledge on SCALA programming.
• Knowledge in importing and exporting the data using Sqoop from HDFS to Relational Database systems and vice-versa.
• Knowledge on integrating Hive with NoSQL databases like Hbase.
• Ability to work effectively in a multi-cultural environment with a team and individually as per the project requirements.
• Eager to work on large scale DWH projects, Hadoop & Big Data Analytics projects.
• Positive attitude, confident and enjoy working in team environment