Development -- 2

Requirements: Must have: • Minimum 1-year development experience in a big data project. • Should have executed at least one end to end project using Hadoop, Hive, HDFS. • Deep understanding of Map Reduce implementation patterns • ETL experience in a Data warehousing project. • Loading from disparate data sets. • Pre-processing using Hive / Pig / python/ Unix scripting. • Good skills and experience in Linux, Java, XML, JSON, REST. • Understanding of database internals and data warehouse implementation techniques; working knowledge of SQL • Knowledge of data structures and algorithms. • Solid understanding of data structures & common algorithms Understanding of time-complexity of algorithms • • Should have worked in an agile development environment. • Work with other team members to accomplish key development tasks: Team player, proactive. Good to have: • Implementation involving any of the following: PIG, Sqoop, Flume, Storm, Spark, zookeeper, Hbase, Chukwa or Scala. • Design and develop ETL data flows using Hive / Pig / Unix scripts