Data Lead/Data Modeler

Description

Details Required 6+ Years of Extensive experience with Hadoop development projects, inclusive of HDFS, Hive, Spark, Kafka, MapReduce, HBase, Sqoop, Flume and etc.,
3+ Years of Data analysis experience in the insurance industry
Experience on graph databases (Titan in particular) and/or experience in Data Quality tools (Informatica Data Quality in particular) is strong plus
Good understanding on extracting, parsing, joining, standardizing, augmenting, cleansing, consolidating and filtering data to create desired wrangling outputs that can be leveraged to downstreams.
Passionate about data, Extensive experience in creating data quality rules at multiple levels (attribute, entity, feed) of data
Works with the data analyst and business data modeler to flesh out the exact set of dataquality rules that should be built into the process
Perform peer reviews of data quality implementations as soon as they are delivered
Perform demos, design reviews, and code reviews for program and platformlevel governance groups
Participates in sprint planning sessions, including providing detailed tasks that are required to fulfill stories
Functional knowledge/experience of the Insurance Industry is a plus
Able to Manage & Lead a team of people functionally and technically
Excellent interpersonal, written and verbal communication skills is a must