Job Description
Company Description
👋🏼 We’re Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!
Job Description
REQUIREMENTS:
- Total experience 5.5+ years.
- Should have 5-8 years of experience in data analysis, system implementation support, testing support, or PMO/BA roles with strong data exposure (banking/financialservices preferred).
- Should have experience supporting data migration, reconciliation, or test data activities is an advantage.
- Familiarity with core banking/deposits concepts (CASA/Time Deposit) is a plus.
- Should have experience with legacy-to-modern platform migrations (AS/400 to modern core banking, cloud-native or microservices architectures) is strongly preferred.
- Hands-on experience with DMS platforms or other core banking platforms.
- Should have knowledge of data quality and validation concepts
- Should have working understanding of ETL concepts and migration lifecycle
- Should have understanding of banking data objects (customer/account, balances, product parameters, transaction history) and downstream impacts.
- Should have strong analytical skills; comfortable working with large datasets and spotting patterns/variances.
- Should have proficiency in SQL (preferred) and Excel; experience with data tools (e.g., Power BI) is a plus.
- Should have strong documentation discipline (logs, trackers, evidence packs) and attention to detail.
- Should have good communication skills to coordinate clarifications and follow-ups across IT, vendor, and business SMEs.
- Should have structured problem-solving and ability to summarize issues and impacts clearly.
RESPONSIBILITIES:
- Maintain and update migration workplan trackers (mock run schedule, environment data refresh plan, reconciliation checkpoints, cutover readiness checklist).
- Support requirements-to-data traceability: maintain source-to-target mapping tracker, transformation rule clarifications, and sign-off status across stakeholders.
- Perform data validation activities using agreed control framework (record counts, control totals, sample-based checks, exception analysis) against vendor outputs.
- Support reconciliation preparation and review (balance reconciliations, account-level variances, GL/SL tie-outs where applicable); document findings and follow up with owners.
- Manage defect and exception logs for data migration (capture issues, categorize root cause themes, track to closure, support evidence collation).
- Coordinate data-related SIT/UAT readiness: confirm test data availability, refresh requests, masking requirements (if applicable), and resolve data blockers with vendor/IT teams.
- Prepare artifacts and evidence for governance and auditability (mapping approvals, run results, reconciliation reports, signoff packs, cutover runbooks attachments).
- Produce regular status updates and dashboards for the Data Migration Lead (progress, risks/issues, decisions needed, upcoming milestones).
- Support cutover activities and mock runs (checklist execution support, results collation, variance reporting, post-run lessons learned capture).
- Ensure adherence to client data security and access controls when handling extracts, files, and non-production data.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
