Data Modeler

4 days ago

Bengaluru Karnataka, India Virtusa Full time

Bachelors degree in Computer Science, Information Systems, or a related discipline.
6+ years of experience in data modelling, preferably with insurance industry datasets (policies, claims, customer, or actuarial data).
Advanced skill in designing conceptual, logical, and physical models for Azure Databricks and Azure Data Lake that support structured, semi-structured, and unstructured data.
Experience with data modeling tools such as Erwin, ER/Studio, PowerDesigner, or Microsoft Visio, and version control using GitHub.
Deep understanding of relational, dimensional, and data lake modeling techniques (star, snowflake, 3NF), optimized for Databricks/Spark-based processing.
Ability to model and document metadata, reference data, and master data with Informatica, supporting robust data governance and quality.
Strong SQL and Spark skills for data profiling, validation, and prototyping in Databricks environments.
Familiarity with regulatory and compliance requirements for insurance data (e.g., IFRS 17, Solvency II).

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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