Healthcare Data Engineer

Job Summary We are seeking a highly experienced Healthcare Data Engineer with 12+ years of experience in building and managing scalable data solutions. This role focuses on designing and maintaining data pipelines, developing backend APIs, and leveraging AWS cloud services to support data-driven applications within the healthcare domain. The ideal candidate will have strong expertise in Python, PySpark, SQL, and AWS technologies. Key Responsibilities • Design, develop, and maintain data pipelines for efficient data ingestion, transformation, and processing • Develop backend APIs using Node.js and Express.js with comprehensive unit testing • Utilize AWS Lambda to build and manage serverless, event-driven workflows • Implement and manage No

SQL databases such as Dynamo

DB, Mongo

DB, and Elasticsearch • Collaborate with cross-functional teams including Dev Ops and Data Science to deliver scalable data solutions • Optimize data processing and storage for performance, scalability, and reliability • (Optional) Design and deploy containerized applications using AWS EKS • (Optional) Provision and manage AWS resources including EC2, S3, API Gateway, SQS, SES, and PinpointRequired Qualifications • 12+ years of experience in data engineering or related roles • Strong proficiency in Python, PySpark, and SQL • Hands-on experience with AWS cloud services • Experience designing and building data pipelines and data processing systems • Experience working with No

SQL databases such as Dynamo

DB, Mongo

DB, or Elasticsearch • Experience developing backend APIs using Node.js and Express.js • Strong understanding of data engineering concepts and best practices • Experience working in the healthcare domainPreferred Qualifications • Experience with containerization and orchestration using AWS EKS • Experience provisioning and managing AWS infrastructure services • Strong collaboration and communication skills • Experience working in cross-functional, Agile environments

Education: Bachelors Degree