Senior Data Engineer (Spark, Databricks)

Project Description: We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions.

Responsibilities:

• 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.

Mandatory Skills Description:

• 5+ years of experience in data engineering roles
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 4+ years of experience with Databricks data pipelines
• Strong hands-on experience with PySpark and/or Apache Spark.
• Experience working with CI/CD pipelines and DevOps best practice. Proficiency with CI/CD, GitHub (pull requests, branching, code reviews).
• Experience writing unit tests and performing data validation
• Experience supporting production systems and deployments
• Strong analytical and troubleshooting skills.

Nice-to-Have Skills Description:

• Knowledge of FHIR (Fast Healthcare Interoperability Resources) standards.
• Experience with healthcare data integration projects.
• Familiarity with REST APIs and FHIR server integrations.
• Experience in Agile/Scrum development environments.