Hadoop consultant

• Be the Hadoop Subject Matter Expert to engage with customers to provide technological solutions as well as operational improvement recommendations Hadoop infrastructure platforms & Hadoop eco-system incl. Linux & storage • Lead the teams on technical directions for the different Hadoop platforms that run 24x7 and support customer critical production operations • Major Incident support (service recovering & root cause troubleshooting) for Hadoop and Hadoop eco-system incl. Linux & storage related issues, including communications to senior management and customer. • Required to get “hands-on” where needed and work along the technical team • Support the Hadoop Platform with the tools OOZIE, Apache Ni Fi, Java & Unix must knowledge • Well-versed knowledge on Network, Storage and API’s creation and debugging • Knowledge on supporting the applications on Big data platform and Debugging knowledge of YARN • Write/debug Python code for the designed frameworks • Control the Hadoop clusters with proper access controls and apply the security with the tools Ranger, Kerberos • Coordinate with product vendors to setup/configure infrastructure, network, nodes • Write automation scripts for any alerts and monitoring dashboards from automation perspective with Python • Maintaining and troubleshooting the Environment with Ambari • Integrate Solution knowledge between Hadoop and Reporting tools like Tableau, MicroStrategy, SAS, HDF • Solutioning different Disaster Recovery approaches for Bigdata • Tuning and scaling up clusters with several proposals Skillset: • Hadoop Hortonworks admin or support L2/L3 Knowledge • Hive /Hbase SQL Tuning for map reducer jobs Shell/ Python Scripting • Certification Hadoop Administration • Certification RedHat Linux Administration • mySQL/postgreSQL knowledge • VMware Virtualization knowledge preferred • Knowledge on Pure and Isilon storage, S3 file systems is added-advantage • Must be able to engage with technical people but also with semi-technical senior stakeholders and customer’s application teams Years of Experience: 8 to 12 years overall Experience and 5+ Years of Big data Engineering and Production support