Job Description
Hadoop development and implementation. - Loading from disparate data sets. - Pre-processing using Spark, Hive and Pig. - Designing, building, installing, configuring and supporting Hadoop. - Translate complex functional and technical requirements into detailed design. - Perform analysis of vast data stores and uncover insights. - Maintain security and data privacy. - Create scalable and high-performance web services for data tracking. - High-speed querying. - Managing and deploying HBase and Kafka. - Being a part of a POC effort to help build new Hadoop clusters. - Test prototypes and oversee handover to operational teams. - Propose best practices/standards. Required SkillsJava Hive Scala PySpark Hadoop Spark ETL Talend Python Pig SQL
Keyskills: Web services SCALA Hadoop Deployment data privacy Management Operations SQL Python HBase
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