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Responsibilities: - linkedin is must Requirements:3-6 years' 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 algorithmsExperienced in HBase, RDBMS, SQL, ETL and data analysisExperience in No SQL Technologies (ex., Cassandra/ MongoDB, etcExperienced in scripting(Unix/Linux) and scheduling (Autosys)Experience with team delivery/release processes and cadence pertaining to code deployment and releaseResearch oriented, motivated, pro-active, self-starter with strong technical, analytical and interpersonal skillsA team player with good verbal and written skills, capable of working with a team of Architects, Developers, Business/Data Analysts, QA and client stakeholdersVersatile resource with balanced development skills and business acumen to operate at a fast and accurate speedProficient understanding of distributed computing principles. Continuously evaluate new technologies, innovate and deliver solution for business-critical applicationsDesired skills:Object-oriented programming and design experienceDegree in Computer Science or equivalentExperience with automated testing methodologies and frameworks, including JUnitPython IDEs (Django, Flask), data wrangling and analytics in a python based environmentFundamentals of Python Data Structures, Collections, Pandas for file and other type of data handling, visualizations, etc.Visual Analytics Tools knowledge (Tableau)Experience with Big Data Analytics & Business Intelligence and Industry standard tools integrated with Hadoop ecosystem (R , Python)Data Integration, Data Security on Hadoop ecosystem (Kerberos)Any Big Data certification (ex., Cloudera's CCP, CCA)