Data/ETL Engineer

About the role

We are seeking a skilled Data Engineer with expertise in Snowflake, Azure, and QNXT to design, build, and optimize scalable healthcare data platforms and analytics solutions. The ideal candidate will have strong experience developing end-to-end data pipelines, integrating healthcare data from QNXT, and enabling reporting, analytics, and operational insights through modern cloud technologies.

What you'll do

• Design, develop, and maintain scalable data pipelines using Azure and Snowflake
• Ingest, transform, and integrate healthcare and claims data from QNXT and related source systems
• Build and optimize ETL/ELT workflows for large-scale data processing
• Develop and maintain Snowflake data models, schemas, and data marts
• Ensure data quality, governance, security, and compliance across the data lifecycle

What you need

• 5–8 yrs of experience
• ETL
• SQL
• Python
• Snowflake
• Data warehousing
• Data modelling
• Any graduate

Good to have

• AWS
• Airflow
• Power BI
• Tableau
• Spark
• CI/CD