======= Hadoop ======= • Experience using Hadoop (preferably Hadoop 2 with YARN), MapReduce, Pig, Hive, Sqoop, and Hbase • Strong understanding of Hadoop ecosystem including setting up Hadoop cluster with knowledge on cluster buliding , sizing, monitoring and encryption at rest and motion. • Experience in scheduling Hadoop jobs using oozie workflow • 3+ years of strong experience in object-oriented programming through JAVA, including optimizing memory usage and JVM configuration in distributed programming environments • Worked on developing REST API’s using standard frameworks • Exposure to Hadoop’s distributed column-oriented database like Hbase. • Strong UNIX operating system concepts and shell scripting knowledge • Exposure to different NoSQL databases within Hadoop ecosystem • Exposure to public, private, and hybrid cloud platforms such as AWS and Openstack ============== Openstack Cloud ============== • Having experienced on OpenStack Private Cloud Infrastructure set up (Single Node and Multi Node Controller, Compute & Network nodes) and development environment with Eclipse. • Have done Customization for Horizon and different filters configuration for scheduling of VMs. • Having experienced with Oracle Virtual box and VMware Work Station Deployments using Devstack. • Developed a Fair Share Scheduling algorithm to spin up the instances on compute nodes. • Having experienced with Essex, Folsom, Grizzly, Havana, Icehouse and Juno versions • Have published papers in international Journals on OpenStack Scheduling of VMs ========== AWS Cloud : ========== • Having experienced on AWS services such as EC2, VPC, S3, IAM, EMR, RDS, Data Pipeline, Kinesis, Elastic search service. • Having experinced with developing and deploying web applications on AWS • Experienced with BOTO Python Script.