The role involves designing and delivering scalable data integration solutions to support large-scale processing and analytics. The individual will build and optimize data pipelines and develop complex ETL solutions. Responsibilities include processing various healthcare data formats and integrating information across multiple database systems. The position requires close collaboration with test data management teams and solution architects to ensure accurate data movement. The role focuses on maintaining data quality and meeting business and compliance requirements.

Candidates must possess hands-on experience with Databricks for ETL processing and large-scale workflows. Expertise in Talend Data Integration and Talend Data Mapper is required, along with the ability to process healthcare data formats such as X12, JSON, and XML. Proficiency in MongoDB, Oracle, SQL Server, and Teradata is necessary for data validation and movement. Additionally, applicants need basic to intermediate skills in Java or Python to support custom transformations and pipeline troubleshooting.