Opis stanowiska

🔥Become a Luxoft employee🔥

Our Benefits:

💰Paid Referrals

💻Equipment: laptop and monitor

🩺Private Medical & Dental care & Life Insurance covered

🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)

🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts

🎓 LuxTalent platform (webinars, training, courses)

...and more!

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.

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.

Languages:

English: B2

Senior Data Engineer

Luxoft