Big Data Developer

Job Description.
5+ years of hands-on experience in designing, building and supporting Data Applications using Spark, Sqoop and Hive 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, UnixNice to have skills: AML Domain knowledge.
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