Senior Automation Engineer (Backend Testing & Data Migration Testing)

Coforge Limited; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Coforge Limited is seeking a Data Migration Test Automation Engineer in Chicago, IL for an onsite role requiring 10+ years of experience. You will define and execute migration test strategies, validate mappings, and ensure data integrity across source and target systems.

You will also build automated validation frameworks, automate checks for record counts and data quality, and support cutover and rollback activities to ensure migration readiness.

Responsibilities

• Develop and execute migration test strategies, plans, and validation approaches.
• Validate source-to-target data mappings and transformation rules.
• Perform data reconciliation before and after migration.
• Verify completeness, accuracy, consistency, and integrity of migrated data.
• Execute mock, dress rehearsal, and production migration validation cycles.
• Support cutover, rollback, and migration readiness activities.
• Identify and analyze data quality issues, duplicates, truncation, and transformation defects.
• Build automated validation frameworks for data migration testing.
• Develop scripts to compare source and target systems.
• Automate record count validation, field-level validation, and business rule verification.
• Automate reconciliation reports and exception handling processes.

Job description

• Title: Data Migration Test Automation Engineer
• Experience: 10 + years
• Location: Chicago, IL (Onsite Job)

Key Responsibilities

• Develop and execute migration test strategies, plans, and validation approaches.
• Validate source-to-target data mappings and transformation rules.
• Perform data reconciliation before and after migration.
• Verify completeness, accuracy, consistency, and integrity of migrated data.
• Execute mock, dress rehearsal, and production migration validation cycles.
• Support cutover, rollback, and migration readiness activities.
• Identify and analyze data quality issues, duplicates, truncation, and transformation defects.

Automation Development

• Build automated validation frameworks for data migration testing.
• Develop scripts to compare source and target systems.
• Automate record count validation, field-level validation, and business rule verification.
• Automate reconciliation reports and exception handling processes.