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 up-to-date 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 (Excellent 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).
📌 Data Test Engineer Etl / Data Migration Testing Bengaluru
🏢 Impelsys
📍 Bengaluru
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