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Required Skills:

3 - 6 years experience in Hadoop stack and storage technologies, HDFS, MapReduce, Yarn, HIVE, sqoop, Impala, spark, flume, kafka and oozie Extensive 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

Desired Skills:

Object-oriented programming and design experience. Degree in Computer Science or equivalent. Experience with automated testing methodologies and frameworks, including JUnit, is a plus Python IDEs(Django, Flask), data wrangling and analytics in a python based environment Fundamentals 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. Clouderas CCP, CCA) is a plus