15 Oct
|
Virtusa
|
Chennai
Job Title: Data Integration Developer
Department: DataWorks, CMS Interoperability Mandate
Location: Chennai/Hyderabad India
Job Summary: We are seeking a highly skilled and motivated Data Integration
Developer to join our team.
The ideal candidate will be responsible for designing, developing, and implementing
solutions that extract, transform, and load (ETL) membership,
clinical, and claims data from various source systems into a JSON format. This role
requires strong expertise in PySpark and healthcare domain experience
to ensure data accuracy, interoperability, and productive data flow.
Responsibilities
• Design, develop, and maintain data integration pipelines to extract membership,
clinical, and claims data from diverse source systems.
• Develop and optimize PySpark scripts for efficient data processing, transformation,
and manipulation of large datasets (structured and non-structured).
• Work closely with data architects, business analysts, and other developers to
understand data requirements
• Implement robust data quality checks and validation processes to ensure the integrity
and accuracy of data
•
• Troubleshoot and resolve data integration issues, including data discrepancies,
performance bottlenecks, and system errors.
• Participate in the design and implementation of new data models as needed.
• Develop and maintain comprehensive documentation for data integration processes,
mappings, and technical specifications.
• Collaborate with cross-functional teams to support testing, deployment, and ongoing
maintenance of data integration solutions.
Mandatory/Must Have Skillset
• PySpark: Extensive experience with PySpark for large-scale data processing
• US Healthcare domain
• Any HL7 work experience
Good To Have
• Informatica
• Gen AI
Experience
• 5-12 years of experience in data integration, ETL development, or software
engineering, with a focus on US healthcare data.
• Proven experience working with healthcare data (membership,
📌 Lead Software Engineer (Chennai)
🏢 Virtusa
📍 Chennai