Apache Hive Jobs

7 were found based on your criteria

  • Hourly – More than 6 months – 10-30 hrs/week – Posted
    Should have good working experience in Hadoop Ecosytem . Should be willing to work on remote machine . Should be familiar with Java . Interested candidates please reply with your skype ID .
  • Hourly – 1 to 3 months – Less than 10 hrs/week – Posted
    To Train the students on Big data front
  • Hourly – More than 6 months – 10-30 hrs/week – Posted
    Quantum Strides LLC is looking for Big Data Trainers to teach online classes virtually, on an ongoing basis. Flexible hours per day ranging from 2 to 6 hours. So even if you are employed and have a few hours to spare in the evening, this opportunity will provide you the ability to earn additional income from the comfort of your home. Suitable for individuals with passion for mentoring and teaching. To qualify you must have the following experience: - At least ...
  • Hourly – More than 6 months – 30+ hrs/week – Posted
    Im looking for big data engineers to build our data infrastructure already composed by kafka, camus(linked or streaming data from kafka to hadoop) and hadoop. The infrastructure has just started and we managed to set up all this environment in a matter of two weeks but we understand that we need more man power to support all the services we are planning to build. Some details about The company has a traffic of 30k rps as a peak and ...
  • Hourly – 3 to 6 months – 10-30 hrs/week – Posted
    Looking for engineers with following skill set. The position requires building automation code and scripts to run set of Hive queries on EMR cluster for processing data. It also involves running and looking over queries running the cluster. - Good understanding of Hadoop - Good understanding of Hive - Java and scripting such as Python/Ruby - Knowledge of EMR is a plus
  • Hourly – 3 to 6 months – 10-30 hrs/week – Posted
    I am looking for Hadoop and NoSQL experts with strong knowledge of Hadoop, NoSQL databases such as Cassandra, MongoDB,HBase etc. You should have sound knowledge of Hive, Pig, Jaql and technical, hands-on experience designing, building, installing, configuring and supporting Hadoop in a Linux environment. Hands-on Hadoop database tuning and troubleshooting experience.
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