Must have skills – Data modeling+ Hadoop+ Insurance domain

Client: Client

Required:

12+ years of overall data experience with atleast 4+ years in Data Modeling role with entity relation diagrams, logical/physical data models creation, review, and analysis and provide modelling solutions
Domain focused, excellent understanding and ability to articulate Insurance business processes
Ability to translate business processes into enterprise logical data models keeping in view taxonomy, data quality and data governance
Physical Data Modeling experience in Insurance space, implementation in a Big Data environment as well as in APIs. Graph data modeling experience in addition is highly preferred.
Hands-on-experience with Data modeling tool such as (but not limited to) Erwin and expert in creating complex Logical, Physical and Conceptual data models, worked in complex data mapping, metadata maintenance.
Strong Experience with dimensional modeling like Star & Snowflake, should have understanding on normalized/denormalized models.
Should have experience on applying the modeling standards to logical and physical ERDs, need to collaborate with Business & Development teams. 
Expert in data management best practices with creative problem-solving techniques for data solutions in a large and complex environment
Experience with data warehousing, driving data design and end to end processing, Experience with moderate PL/SQLs,  
Incredibly passionate about data, Extensive experience in creating data quality rules at multiple levels (attribute, entity, feed) of data
Perform demos, design reviews, and code reviews for program- and platform-level 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
Excellent interpersonal, written and verbal communication skills is a must