<p><strong>Job Description:</strong></p> <div class="row"> <div class="col-md-12"> <div id="jobdescSec" class="highlight-black"> <table class="in_table"> <tbody> <tr> <td colspan="2" width="100%"> <ul> <li>Domain focused, excellent understanding and ability to articulate Insurance business processes</li> <li>Ability to translate business processes into enterprise logical data models keeping in view taxonomy, data quality and data governance</li> <li>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.</li> <li>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.</li> <li>Strong Experience with dimensional modeling like Star &amp; Snowflake, should have understanding on normalized/denormalized models.</li> <li>Should have experience on applying the modeling standards to logical and physical ERDs, need to collaborate with Business &amp; Development teams.</li> <li>Expert in data management best practices with creative problem-solving techniques for data solutions in a large and complex environment</li> <li>Experience with data warehousing, driving data design and end to end processing,</li> <li>Experience with moderate PL/SQLs, <br /> Incredibly passionate about data, Extensive experience in creating data quality rules at multiple levels (attribute, entity, feed) of data</li> <li>Perform demos, design reviews, and code reviews for program- and platform-level governance groups</li> <li>Participates in sprint planning sessions, including providing detailed tasks that are required to fulfill stories</li> <li>Functional knowledge/experience of the Insurance Industry is a plus</li> </ul> </td> </tr> <tr> <td colspan="2" width="100%">&nbsp;</td> </tr> </tbody> </table> </div> </div> </div>