CareerPlan

Senior Data QA Engineer

Kathmandu, NepalFull-time2026-11-06 → 2026-11-09

Core

Ensure accuracy, integrity, and quality of enterprise data solutions supporting strategic client implementations and business initiatives by validating complex data workflows and ETL processes.

Role type

Senior IC Data QA Engineer

Builds

Reliable data solutions and validated data pipelines for healthcare and life sciences clients

Domain

Healthcare / Life Sciences / Data Engineering

Required skills

SQL, ETL testing, data quality analysis, test strategy design, data reconciliation, defect management, regression testing, data validation techniques

Preferred skills

Healthcare data environment experience, Jira/Azure DevOps, Agile/Scrum, large dataset validation, data warehouse familiarity

Technologies

SQL, Jira, Azure DevOps

Responsibilities

Perform data quality checks and validation on data from multiple sources; Design and execute test strategies, plans, and cases for ETL initiatives; Validate data across ETL and data processing pipeline stages; Write and execute SQL queries to verify data accuracy and business rule compliance; Perform data reconciliation and identify discrepancies; Investigate, document, track, and verify defects; Execute regression, integration, and release validation testing; Collaborate with Data Engineers, Developers, and stakeholders to meet data quality requirements; Ensure compliance with policies when handling sensitive healthcare data

Seniority

Senior, hands-on IC