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Location
In office (Hyderabad)
Experience
6+ years exp
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time

First seen by Alion on Nov 11, 2026.

Overview
Company
Impact
Profile match
Virtusa (Virtusa Corporation) is a global digital engineering and information technology services company that provides digital transformation, IT consulting, cloud modernization, and systems integration solutions. Headquartered in Southborough, Massachusetts, the firm operates delivery centers and regional hubs across North America, Europe, and the Asia-Pacific region - with major operational bases in India and Sri Lanka. Founded in 1996, it serves Global 2000 enterprises across sectors such as banking and financial services, healthcare, life sciences, telecommunications, insurance, and retail, utilizing an engineering-led approach to optimize core platforms, deploy AI-driven capabilities, and accelerate business operations.
Backed by CRV

Job Description

Data Migration Engineer

Role summary: Builds and runs the mapping, transformation, load and validation for one or more workstreams. Turns source extracts into clean, reconciled loads in target systems.

Key responsibilities

Map source attributes to the target data dictionary for assigned entities, such as customers, licences, products, orders or contracts.

Profile and cleanse source data: duplicates, missing fields, invalid codes and inconsistent formats.

Build transformation and load scripts into target systems such as ERP, CRM, legacy platforms and e-commerce.

Match source customers against existing target records and apply cross-system ID mapping.

Run QA and mock loads; produce record counts, field-level reconciliation and exception reports.

Log and fix defects, feeding remapping needs back to source-system owners.

Automate repeatable steps, such as bulk record setup in place of manual entry.

Document mappings, transformation rules and load procedures for cutover and support handover.

Required qualifications

6+ years in data engineering or ETL, including at least two production data migrations.

Strong SQL and Python (or a comparable scripting language) for transformation and validation.

Experience loading data into an ERP such as SAP (LSMW, BAPIs, Migration Cockpit or IDocs) or a CRM such as Salesforce (Data Loader, Bulk API).

Working knowledge of data profiling, de-duplication and reconciliation techniques.

Comfortable working with file-based extracts in cloud storage such as AWS S3.

Preferred qualifications

Legacy platform experience, such as AS400/IBM i (CL, RPG or DB2 for i).

Experience with Kafka or other integration platforms.

Exposure to entitlement data: institutional licences, IP ranges, SSO or consortia affiliations.

Familiarity with a cloud data warehouse such as BigQuery for reconciliation and reporting.

Domain knowledge in subscription, licensing or content-based businesses.

Success measures

Mappings complete and signed off for assigned entities.

Each load meets agreed reconciliation thresholds in QA before production.

Defects resolved within agreed turnaround during mock cycles.

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