Big Data Developer

Job Description: 5+ years of hands-on experience in designing, building and supporting Data Applications using Spark, Sqoop and HiveBachelors or masters degree in Computer Science or related fieldStrong knowledge of working with large data sets and high-capacity big data processing platformStrong experience in Unix and Shell scriptingAdvanced knowledge of the Hadoop ecosystem and its componentsIn-depth knowledge of Hive,Apache, Shell scripting, Python, SparkAbility to write MapReduce jobsExperience using Job Schedulers like AutosysHands on experience in HiveQLGood knowledge on Hadoop Architecture and HDFSStrong knowledge of working with large data sets and high-capacity big data processing platformStrong experience in Unix and Shell scriptingExperience with jenkins for Continuous IntegrationExperience using Source Code and Version Control Systems like Bitbucket, GitGood to have experience on Agile Development Responsibilities: Develop components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintainedEnsures solutions are well designed with maintainability/ease of integration and testing built-in from the outsetParticipates and guides team in estimating work necessary to realize a story/requirement through the software delivery lifecycleResponsible for developing and delivering complex software requirements to accomplish business goalsEnsures that software is developed to meet functional, non-functional, and compliance requirementsCodes solutions, Unit testing and ensure the solution can be integrated successfully into the overall application/system with clear robust, and well-tested interfacesRequired Skills: Hadoop, Hive, HDFS, Spark, Python, UnixNice to have skills: AML Domain knowledge