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.