Big Data Developer

6- 8 years Experience in Python scripting is a plus Big data background with experience designing and implementing large scale systems Experience in Hadoop related technologies is a must (HDFS, MapReduce and HBase) Working experience with Hadoop, Enterprise Java development, NoSql data platforms (Cassandra), Pub/sub messaging (Kafka, ActiveMQ, JMS, etc), Stream processing (Storm, Hbase, Nifi, Spark Streaming, etc), ETL Processing with tools such as Abinitio, Talend, Informatica, Hive/SQL and Visualization with Tableau/Cognos. Experience with NOSQL databases (MongoDB, Cassandra) and data modeling tools like Erwin Familiarity with some of the data consumption tools/databases (Hive, Impala, EsGyn, Trifacta, AtScale, etc.) involving HDFS files Working experience with Cloud development stacks like OpenStack, CloudStack, VCloud, AWS, EC2 for Hybrid Configurations and Managed Cloud Considerations Extensive experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency Assisting with capacity planning for the environment to scale. Extensive experience profiling, debugging, and performance tuning complex distributed systems Willingness to commit extra effort to meet deadlines as required on a high profile and business critical project A minimum of 10 years work experience within IT Big Data Engineer Development/Operational experience in a multi-platform, multi-location, 7x24x365 global environment Experience of working with cross-geographic, cross-functional, and cross-lob teams Knowledge of best practice in change, problem, incident, configuration and system health management (ITIL) 2+ years work experience in Big Data Environment (Hortonworks and Cloudera)