Data integration developer

Data Integration Developer

Location: Chennai/Hyderabad

Experience: 6-9 years

Work Mode: Hybrid

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 Py Spark and healthcare domain experience to ensure data accuracy, interoperability, and efficient data flow.

Responsibilities:

Design, develop, and maintain data integration pipelines to extract membership, clinical, and claims data from diverse source systems. Develop and optimize Py Spark 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:

Py Spark: Extensive experience with Py Spark for large-scale data processing US Healthcare domain Any HL7 work experience

Good to have:

Informatica Gen AI

Education:

Bachelor's degree in computer science, Information Technology, Data Science, or a related field.

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, clinical, claims). Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

Soft Skills:

Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. Detail-oriented with a commitment to data quality and accuracy.