Data Test Engineer (ETL / Data Migration Testing)

About Us 

We are growing our Data & AI practice, which delivers cloud data platforms, data modernisation and migration, analytics and AI-enabled engineering for global enterprise clients. You will work in cross-functional teams on long-term engagements, using modern cloud technologies and AI-assisted engineering practices. Location: Offshore (India) · Full-time.  

Role Summary 

Tests data pipelines and data migrations – proving that data is complete, correct and consistent – with automation and clear evidence for sign-off. 

Experience 

Roles & Responsibilities 

• Plan and design tests for data pipelines, migrations and reports 
• Automate reconciliation: row counts, keys, checksums, column-level comparisons 
• Run parallel-run comparisons between legacy and new systems; triage differences 
• Build data-quality checks and regression suites in CI 
• Test security and privacy: access, masking, data deletion 
• Prepare test evidence and sign-off packs; support UAT 

Mandatory Skills 

• Advanced SQL 
• Python for test automation 
• ETL / data migration testing 
• Data-quality frameworks (Great Expectations, Deequ, dbt tests or similar) 
• Defect management and test reporting 

Nice to Have 

• AWS Athena / Glue / Redshift 
• Data-diff tools (e.g., Datafold) 
• Performance testing of data pipelines 
• AI-assisted test generation 

Also Expected

Clear communication with remote client stakeholders across time zones; Comfortable using AI coding and productivity tools, and reviewing AI-generated work critically; Agile ways of working; ownership and accountability. Certifications: ISTQB (preferred).