Senior Data Engineer $$$$

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 practices.
- 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.