Data Engineer

We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions. - Implement resource composition logic provided by the Product team into scalable and efficient PySpark code. - Develop, optimize, and maintain PySpark applications within the Databricks environment. - Utilize and maintain existing CI/CD pipelines in Databricks for automated build, testing, and deployment. - Write and maintain unit tests to ensure high code quality and reliability. - Perform data validation and quality checks to ensure compliance with defined business rules - Support and manage production deployments, ensuring system stability and performance. - Troubleshoot and resolve issues across development, testing, and production environments. - Collaborate with Product, QA, DevOps, and healthcare domain teams to ensure accurate implementation. - Maintain technical documentation for code, workflows, and deployment processes. - Pull from and push code to GitHub repositories, following version control and branching best practices.