Required Skills3-6years experience in Hadoop stack and storage technologies, HDFS, MapReduce, Yarn, HIVE, Sqoop, Impala , Spark, Flume, Kafka and OozieExtensive Knowledge on Bigdata Enterprise architecture (Cloudera preferred) Excellent analytical capabilities - Strong interest in algorithms Experienced in HBase, RDBMS, SQL, ETL and data analysis Experience in No SQL Technologies (ex., Cassandra/ MongoDB, etc ) Experienced in scripting(Unix/Linux) and scheduling (Autosys) Experience with team delivery/release processes and cadence pertaining to code deployment and release Research oriented, motivated, pro-active, self-starter with strong technical, analytical and interpersonal skills. A team player with good verbal and written skills, capable of working with a team of Architects, Developers, Business/Data Analysts, QA and client stakeholders Versatile resource with balanced development skills and business acumen to operate at a fast and accurate speed Proficient understanding of distributed computing principles. Continuously evaluate new technologies, innovate and deliver solution for business critical applications