Capgemini Hiring for Apache Hadoop Admin | 9 to 12 years| Mumbai, Pune & Chennai Job at Mumbai Full Time

Job Description:

• Looking for a very senior resource with 10 years exp, who is experienced in Implementation and ongoing Hadoop administration

• Experienced resource who will be aligning with the engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments

• Working with AD teams to setup and monitor users This job includes setting adding approved Active Directory Groups and testing HDFS, Hive, Pig and Map Reduce access

• Cluster maintenance as well as creation and removal of nodes using tools using Ambari Performance tuning of Hadoop clusters and Hadoop Map, Reduce routines

• Screen Hadoop cluster job performances and capacity planning, Monitor cluster connectivity and security, Manage and review log files

• File system management and monitoring, HDFS support and maintenance, Diligently teaming with the infrastructure, network database, application and business intelligence teams to guarantee high data quality and availability

• Collaborating with application teams to install operating system patches version upgrades when required, Database backup and recovery , Database connectivity and security

• Performance monitoring and tuning, Similar tasks and level of operations, support as described above for other Big Data NoSQL technologies eg. Splunk, MongoDB, Redis that are or are brought into the environment

• Support of Hadoop includes complementary tools and platforms e g. hive, hbase, pig which can and will evolve over time or change depending on distributions in use

• Good communication, Presentation skills, Excellent customer handling skills, Should be able to lead a team of 15 to 20 resources

Primary Skills:

• Apache Hadoop Admin, Hadoop administration support, Cloudera

• Big Data NoSQL technologies eg. Splunk, MongoDB, Redis

Secondary Skills:

• Active Directory Groups and testing HDFS, Hive, Pig and Map Reduce access

• Performance monitoring and tuning, Similar tasks and level of operations