Data Engineer
2d ago
  • Should have at least 4 to 8 years of professional experience in software product development.
  • Experience in SW development lifecycle in Hadoop would be preferred.
  • Experience in process analysis and Application lifecycle tools ( eg. Atlassian Tools) is added advantage
  • Good to have experience interacting with cross-functional teams to get things done.
  • Requirements / Roles / Responsibilities :

    Looking for a person who can contribute to the big data application development. For Senior Consultant position experience in leading a development team is a good to have experience.

    Technical Skills

  • Must Have Experience coding in Java. Good to have experience in Scala
  • Must have experience in various RDBMS and data modelling.
  • Must have very good command on SQL
  • Must have very good knowledge on data transfer tools like Sqoop, Flume.
  • Must have good knowledge on File Transfer Protocols.
  • Must be Hands-on in at least one scripting language like Python, Shell. Good to have Pig scripting knowledge as well.
  • Must have Linux knowledge
  • Good understanding of Hadoop ecosystem components like HDFS, Map Reduce, Pig, Hive, Sqoop, Flume, Spark and Apache HUE.
  • Good to have NOSQL experience any other database knowledge is also fine.
  • Experience in Horton Works Platform is an added advantage.
  • Good to have Web Application Development Experience
  • Good to have Hadoop Administration skills
  • Good to have Understanding of Security aspects like Kerberos.
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