The ideal profiles should have expertise in validating large-scale data pipelines, conducting root cause analysis, and identifying data quality issues specific to health payer environments.
Key skills include
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Proficiency in SQL, data profiling, ETL testing, and working knowledge of healthcare data standards such as HIPAA, ICD, CPT, claims processing, and HEDIS/ CMS.
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Experience with automated testing tools, data reconciliation, and ensuring compliance with healthcare regulations is also essential.
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We are particularly interested in professionals with at least 6-10 years of hands-on experience in QA roles within health payer organizations or similar projects.
📌 Data ModelerData Engineer (India)
🏢 Sparix Global
📍 India
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