Live opening · Posted 11 days ago
DB Tester
Atain · Gurugram, Haryana, India (Hybrid)
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At a glance
The key details from the original listing.
CompanyAtain
LocationGurugram, Haryana, India (Hybrid)
Work modeHybrid
Source
Linkedin
ListedPosted 11 days ago
About the role
Description supplied by the original job listing.
Job Description Role: Test Engineer – Data Migration & Transformation Validation
Experience: 6–10 Years
Location: Gurgaon Hybrid
Interested candidate please share resume on Kalyani.Jadhav@atain.com
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.
Work arrangement
Hybrid
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