Current Location: India
Availability: Immediate / Short Notice
Work Setup: Open to Hybrid (Kochi-based roles)
Profile Overview
- 5+ years experience in QA and Data Testing, with strong focus on ETL and database validation
- Proven background working within healthcare / medical claims data environments
- Strong capability across end-to-end data lifecycle testing, including ingestion, transformation, and reporting layers
- Experienced in working within cross-functional Agile teams, collaborating with data engineers, developers, and business stakeholders
Core Technical Skills
- ETL & Data Testing:
- Validation of ETL pipelines (accuracy, completeness, consistency)
- Source-to-target mapping and reconciliation
- Data warehouse / data mart validation
- SQL (Advanced):
- Complex joins, aggregations, calculations
- Data comparison and historical data validation
- Automation:
- Strong experience in data-focused automation (not UI)
- Hands-on with Playwright (mandatory)
- Experience with automation frameworks (e.g. Selenium or equivalent)
- Exposure to Python scripting for validation and regression checks
- Data Platforms:
- Experience working with large-scale datasets
- Exposure to cloud-based environments (including Azure)
- Testing & QA:
- Test case design, execution, and defect management
- Root cause analysis and production issue support
- Use of test management and defect tracking tools
Domain Experience
- Strong experience within the healthcare insurance domain
- Hands-on exposure to medical claims data (mandatory requirement met)
Key Strengths
- Strong analytical and problem-solving capability
- Detail-oriented with a data-first mindset
- Comfortable working independently in complex environments
- Effective communicator across both technical and business teams
Additional Notes
- Experience supporting data pipelines for reporting and analytics
- Familiar with Agile / Scrum environments
- Good understanding of data quality, governance, and compliance frameworks
