Bigdata Developer

• 5+ years of hands-on experience in designing, building and supporting Data Applications using Spark, Sqoop and Hive
• Bachelors or masters degree in Computer Science or related field
• Strong knowledge of working with large data sets and high-capacity big data processing platform
• Strong experience in Unix and Shell scripting
• Advanced knowledge of the Hadoop ecosystem and its components
• In-depth knowledge of Hive, Shell scripting, Python, Spark
• Ability to write MapReduce jobs
• Experience using Job Schedulers like Autosys
• Hands on experience in HiveQL
• Good knowledge on Hadoop Architecture and HDFS
• Strong knowledge of working with large data sets and high-capacity big data processing platform
• Strong experience in Unix and Shell scripting
• Experience with jenkins for Continuous Integration
• Experience using Source Code and Version Control Systems like Bitbucket, Git
• Good to have experience on Agile Development

Responsibilities:

• Develop components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset
• Participates and guides team in estimating work necessary to realize a story/requirement through the software delivery lifecycle
• Responsible for developing and delivering complex software requirements to accomplish business goals
• Ensures that software is developed to meet functional, non-functional, and compliance requirements
• Codes solutions, Unit testing and ensure the solution can be integrated successfully into the overall application/system with clear robust, and well-tested interfaces

Required Skills:

• Hadoop, Hive, HDFS, Spark, Python, Un