Data Engineer_ Microsoft Azure and AWS Location: Remote Working Time: evening Budget: 22-24k monthly Duration:-2 hours per day Demo Required: Today Job Description We are seeking an experienced Senior Data Engineer with strong expertise in the Healthcare Payer domain to design, build, and maintain scalable data pipelines and reporting solutions. The ideal candidate will have hands-on experience across AWS and Microsoft Azure, strong Python/PySpark skills, and the ability to support integrated reporting and analytics using Power BI. Key Responsibilities Design, develop, and maintain end-to-end data pipelines for healthcare payer data Build and optimize ETL/ELT workflows using AWS Glue, Step Functions, and Python Work with Azure and AWS cloud services for data ingestion, processing, and storage Implement and manage Data Lake architecture (structured & unstructured data) Ensure high data quality, reliability, and performance across pipelines Support integrated reporting and analytics use cases Collaborate with business, analytics, and reporting teams to understand payer data requirements Enable dashboards and reports using Power BI Handle large-scale datasets related to claims, eligibility, providers, members, premiums, and payments