Job Description :
Solid experience working in Big Data Environment (Hortonworks and Cloudera) 
Big data background with experience designing and implementing large scale systems 
Solid working experience with Hadoop, Hive-Tez, Enterprise Java development, NoSql data platforms (Cassandra), Pub/sub messaging (Kafka, ActiveMQ, JMS, etc), Stream processing (Storm, Hbase, Nifi, Spark Streaming, etc), 
At least 2 years of experience with kafka spark based ingestion, NIFI integration 
Thorough understanding of spark framework and tuning of spark applications 
Extensive experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency 
Extensive experience profiling, debugging data on complex distributed systems 
Willingness to commit extra effort to meet deadlines as required on a high profile and business critical project 
Solid experience with Python and Java 
Strong performance tuning experience of Hive/Spark/Kafka/Hbase 
Extensive knowledge on Moving data between various platforms like Hadoop/Hive 
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