• 7 years of professional IT experience which includes 2+ years of experience in Hadoop, Big data ecosystem related technologies.
• Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Job Tracker, Task Tracker, NameNode, Data Node, Resource Manager, Node Manager and MapReduce programming paradigm.
• Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop MapReduce, HDFS, HBase, Oozie, Hive, Sqoop, Pig, Flume.
• Experience on Apache Hadoop technologies Hadoop distributed file system (HDFS), MapReduce framework, Pig, Hive, Sqoop and Flume, HBase.
• Extensive hold over Hive and Pig core functionality by writing custom UDFs.
• Hands on Data Analysis & Integration efforts involving Hadoop along with ETL.
• Good Exposure on Apache Hadoop Map Reduce programming, PIG Scripting and Distribute Application and HDFS.
• Experience in NoSQL database HBase
• Experience in analyzing data using HiveQL, Pig Latin, and custom Map Reduce programs in Java. Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa.
• Hands on experience in application development using Java, RDBMS, and Linux shell scripting
• Extensive experience in IBM Websphere Datastage 9.1/8.7/8.5/8.1 using components like Datastage Designer, Datastage Director, Datastage Administrator, Quality Stage, Information Server and Parallel Extender.
• RDBMS experience with Oracle 10g, SQL Server, DB2 including database development, PLSQL programming.
• Experience working with Insurance, Finance and Healthcare Domains.
• Ability to adapt to evolving technology, strong sense of responsibility and accomplishment
• Highly driven and self-motivated with sound business judgment and strong work ethics
• Good communication and interpersonal skills with good analytic power
• Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Job Tracker, Task Tracker, NameNode, Data Node, Resource Manager, Node Manager and MapReduce programming paradigm.
• Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop MapReduce, HDFS, HBase, Oozie, Hive, Sqoop, Pig, Flume.
• Experience on Apache Hadoop technologies Hadoop distributed file system (HDFS), MapReduce framework, Pig, Hive, Sqoop and Flume, HBase.
• Extensive hold over Hive and Pig core functionality by writing custom UDFs.
• Hands on Data Analysis & Integration efforts involving Hadoop along with ETL.
• Good Exposure on Apache Hadoop Map Reduce programming, PIG Scripting and Distribute Application and HDFS.
• Experience in NoSQL database HBase
• Experience in analyzing data using HiveQL, Pig Latin, and custom Map Reduce programs in Java. Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa.
• Hands on experience in application development using Java, RDBMS, and Linux shell scripting
• Extensive experience in IBM Websphere Datastage 9.1/8.7/8.5/8.1 using components like Datastage Designer, Datastage Director, Datastage Administrator, Quality Stage, Information Server and Parallel Extender.
• RDBMS experience with Oracle 10g, SQL Server, DB2 including database development, PLSQL programming.
• Experience working with Insurance, Finance and Healthcare Domains.
• Ability to adapt to evolving technology, strong sense of responsibility and accomplishment
• Highly driven and self-motivated with sound business judgment and strong work ethics
• Good communication and interpersonal skills with good analytic power
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