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Key Responsibilities : Strong experience in Hadoop and other Big data technologies Hands-on experience on technologies like HDFS, YARN, Spark, Hbase ,Hive, Kafka, Horton works / Cloudera, Zookeeper, and Oozie is a plus Advanced working HIVE knowledge and experience working with beeline and relational queries on Hive Experience working on Data Quality / Data Governance Strong analytic skills related to working with unstructured datasets
Technical Experience : Experience in collaborative tools like JIRA, Udeploy, Git, Bitbucket , Autosys and ServiceNow Strong communication and organizational skills Experience supporting and working with cross-functional teams in a dynamic environment strong business acumen in the financial Services Domain Ability to work effectively in agile team environment Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities
Professional Attributes : Build or redefine processes for support operations and scripting to automate manual process Good to Have - Experience / Familiarity with Hadoop on AWS Cloud Experience / Familiarity with AWS Redshift / Snowflake Experience working on Spark / Pyspark and related technologies
Educational Qualification : Btech / BE / MCA or equivalent
15 years of full time education