{"@context":"https://schema.org","@type":"JobPosting","title":"Python, Data profiling, Data cleansing, Data transformation","description":"

4-5 years of experience in Python and Data Engineering, preferably in the Healthcare domain.
Strong proficiency in Python (Pandas, NumPy, PySpark) for ETL development and data automation.
Excellent SQL skills including complex joins, window functions, and stored procedures.
Experience in data profiling, cleansing, transformation, validation checks, and quality gate implementation.
Hands-on experience supporting QA teams with automated test data preparation and Test Data Management tools (Genrocket, Informatica TDM, Delphix, IBM Optim, or equivalent).
Strong understanding of Healthcare data models such as claims, eligibility, enrollment, EHR/EMR, provider/payer data, and HIPAA-compliant datasets.
Experience working with EDI transactions (837, 835, 270/271), API-based data integration, and microservices architecture (Java/Python).
Knowledge of Agile/Scrum, CI/CD practices, cloud platforms (AWS/GCP/Azure), and ability to work independently with strong analytical and communication skills.

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