Hadoop Developer Resume Richmond, Virginia - Hire IT People

SUMMARY:

2+ Years of Total work experience in IT, which includes experience in requirement gathering, design and development, and Implementation of Hadoop and Data warehousing solutions and also embedded application.
More Than 2 Years of experience in dealing with Apache Hadoop components like Java, HDFS, MapReduce, Hive, HBase, Scoop and Tableau
Good knowledge of Java (J2SE)
Good knowledge on JDBC, integration with java program
Expert in writing HiveQL queries and have knowledge of Hue Tool.
Very Good understanding of SQL, ETL and Data Warehousing technologies.
Active Member of the Hadoop Core team, actively participating in defining various hadoop design standards and getting them implemented.
Have very good Data Analysis and Data Validation skills.
Have very good exposure to the entire Software Development Lifecycle.
Expert in requirements collection, analysis. Excellent troubleshooting and debugging skills.
Expert in Building, Deploying and Maintaining the Applications
Expert in Embedded, Automotive, Avionics, Telecom, Product, and Maintenance. Ability to contribute individually and work well with minimal supervision

TECHNICAL SKILLS:

Open source technologies and tools: Cloudera Hadoop, Java Technology

Development technologies & Operating Systems: Java, Hive, HiveQL, HBase, SQL script, Shell Script, Linux, MAC OS X

Build tools : Maven, Ant, Jenkins

Data Storage: HDFS, MySQL, XML, Microsoft SQL Server 2000, MS Access

Tools & Utilities: Rational Clear case,VMWare, Eclipse, Microsoft Visio & office, TOAD, SQL developer, Codeflow, SourceControl

Application Servers: Apache Tomcat

PROFESSIONAL EXPERIENCE:

Hadoop Developer

Confidential, Richmond, Virginia

Responsibilities:

Requirement gathering from the Business Partners and Subject Matter Experts.
Understand the data requirements and prepare the requirement document and get agreement from the client that all the data requirements are complete and understood.
Have experience in installing Hadoop Ecosystem components.
Used to manage and review the Hadoop log files.
Responsible to manage data coming from different sources.
Supported Map Reduce Programs those are running on the cluster.
Involved in HDFS maintenance and loading of structured and unstructured data.
Wrote MapReduce job using Java API.
Written Hive queries for data analysis to meet the business requirements.
Creating Hive tables and working on them
MySQL to HDFS on regular basis.
Developed Batch Job and Scripts to schedule various Hadoop Program.
Weekly meetings with technical collaborators and active participation in code review sessions with senior and junior developers.