Job Description

Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements.


Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies.


Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation.


Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows.


Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims).


Validate migrated data against business rules, regulatory standards, and reconciliation reports.


Support UAT by preparing test cases and validating migrated data with business users.


Ensure data privacy and security compliance throughout the migration process.


Document issues, risks, and resolutions related to data quality and migration.

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.