Big Data Sr. Developer

Overview In this role you will design and implement high-performance data processing solutions on the Hadoop stack. You will work within a data-focused team to transform complex requirements into scalable architectures and maintain secure, efficient data pipelines. You’ll build MapReduce jobs, leverage Hive, Pig, and other Hadoop components, and develop web services for data tracking at scale. This position offers exposure to a broad Big Data ecosystem and the opportunity to influence data-driven decisions across the organization. Compensation / Benefitscomprehensive benefits package starting from day one ResponsibilitiesWrite high-performance, reliable, and maintainable codeDevelop MapReduce jobsHadoop development, implementation and supportLoad data from disparate data setsPre-process with Hive and PigDesign, build, install, configure and support Hadoop environmentsTranslate complex requirements into detailed designAnalyze large data stores to uncover insightsMaintain security and data privacyCreate scalable, high-performance web services for data trackingPerform high-speed queryingPropose best practices and standards Key requirements6+ years of hands-on Java experience1+ years hands-on Scala experience3+ years hands-on Hadoop programmingStrong back-end programming knowledge (Java, JavaScript, Node.js) and OOADExperience with MapReduceGood understanding of database conceptsFamiliarity with Hadoop ecosystem (Hadoop, YARN, MapR)Experience with Kafka, Nifi, AWS, Maven, Stash, BambooFamiliarity with data loading tools (Talend, Flume, Sqoop)Experience with Apache ZeppelinKnowledge of workflow schedulers like OozieAnalytical and problem-solving skills related to Big DataExperience with Hadoop components (HBase, Hive, Pig) and related toolsAnalytical and problem solving skillsJavaScalaHadoopMapReduceHive