Data Test Engineer (ETL / Data Migration Testing)

Work Location: Bangalore

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

Level

Total experience

Relevant experience (must)

Test Engineer

4–7 years

3+ years data / ETL / migration testing

Senior Test Engineer

7–10 years

5+ years data testing; 2+ years test automation lead

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).