Database Tester

Role: Test Engineer Data Migration & Transformation Validation Experience: 610 Years

Location: Gurgaon Hybrid

Interested candidate share resume on [email protected]

Test Engineer Data Migration & Transformation Validation (Must Have)

• Lead testing efforts for large-scale data transformation and migration initiatives involving millions of records across enterprise Network Operation platforms.

• Design and execute comprehensive data validation strategies to ensure data accuracy, completeness, consistency, and integrity during migrations.

• Develop complex SQL queries and automated validation scripts to reconcile source and target systems at scale.

• Validate ETL/ELT processes, transformation rules, data mappings, and business logic across multiple data domains.

• Perform end-to-end testing of batch, real-time, and incremental data migration workflows.

• Identify, analyze, and troubleshoot data quality issues, migration defects, duplicates, missing records, and transformation anomalies.

• Collaborate closely with data engineers, architects, business analysts, and application teams to define test strategies and acceptance criteria. • Generate detailed data quality metrics, reconciliation reports, and migration readiness assessments for stakeholders.

• Drive best practices in database testing, automation, and data quality engineering to ensure successful delivery of enterprise migration programs.

AI Agent Onboarding & Test Automation (Good to Have)

• Establish an automation-first testing strategy for the product and agent-based workflows.

• Identify opportunities to use AI-driven test automation to improve test coverage, execution efficiency, and agent workflow validation.

• Collaborate with development, architecture, AI partners, and QA teams to embed DB automation & AI agent into the product development lifecycle.

• Define test scenarios and validation strategies for AI-agent-based workflows, covering functional, integration, data, and end-to-end validation.