- Design, develop, and maintain scalable data solutions using Snowflake.

- Build and optimize complex SQL queries, views, and transformations for large scale healthcare datasets.

- Should have experience to Python

- Analyze healthcare data (claims, eligibility, provider, clinical, pharmacy) to support reporting, analytics, and business insights.

- Collaborate with business analysts and stakeholders to translate healthcare business requirements into technical data solutions.

- Ensure data quality, accuracy, performance optimization, and adherence to healthcare data standards.

- Perform root cause analysis for data issues and implement robust, scalable fixes.

- Support UAT, data validation, reconciliation, and production support activities.

- Ensure compliance with healthcare regulations and internal data governance standards (HIPAA, PHI/PII handling).

- Contribute to design reviews, code reviews, and best practices for data engineering and analytics solutions

Qualification :

Requires an BA/BS degree in Information Technology, Computer Science or related field of study.

Experience :

- 5+ years of experience in data engineering / software engineering roles.

- Strong hands on experience with Snowflake (data modeling, performance tuning, SQL optimization), Python

- Expert level SQL skills for data analysis, transformation, and validation.

- Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns.

- Experience working with large, complex datasets in cloud data platforms.