Role description
Data Engineer - Spark / ETL Experience: 7-8 Years Role Summary The Data Engineer will build and maintain scalable data processing solutions to support healthcare analytics, integrations, and reporting. Key Responsibilities Develop and maintain ETL / ELT pipelines Implement largescale processing using Spark Handle structured and unstructured healthcare data Perform data quality validation and reconciliation Support cloud data migration and integrations Collaborate with analytics, QA, and platform teams Optimize pipeline reliability and performance Required Skills Spark, Python ETL frameworks SQL and data modeling Healthcare data transactions Unix / scripting Cloud data platforms Agile delivery experience Work Availability Must support EST overlapping work hours Shift timing: 1:00 PM - 10:00 PM EST
Data Engineer - Spark / ETL Experience: 7-8 Years Role Summary The Data Engineer will build and maintain scalable data processing solutions to support healthcare analytics, integrations, and reporting. Key Responsibilities Develop and maintain ETL / ELT pipelines Implement largescale processing using Spark Handle structured and unstructured healthcare data Perform data quality validation and reconciliation Support cloud data migration and integrations Collaborate with analytics, QA, and platform teams Optimize pipeline reliability and performance Required Skills Spark, Python ETL frameworks SQL and data modeling Healthcare data transactions Unix / scripting Cloud data platforms Agile delivery experience Work Availability Must support EST overlapping work hours Shift timing: 1:00 PM - 10:00 PM EST