Data Engineer - Python | PySpark | ETL/ELT
Quest Global (company site, opens in a new tab)5–10 yrsTrivandrumOn-siteDirect career pageEst. 12–28 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop cloud-native backend microservices to collect healthcare data from systems like HIS, RIS, and PACS.
- Build and maintain ingestion pipelines for medical imaging and healthcare data in formats such as DICOM and HL7, ensuring data integrity and quality.
- Develop scalable, fault-tolerant data transport services with monitoring and error-handling, deploy using containers and Kubernetes, and contribute to CI/CD automation.
Minimum Requirements
- 5–10 years of experience in backend or cloud software development.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Strong proficiency with Python for backend microservices, PySpark for data processing, Kubernetes, ETL/ELT pipeline design, REST API development, and SQL.
- Experience with healthcare data standards (HL7, DICOM) is nice to have but not mandatory.
Ideal Candidate Profile
- Experienced in cloud-native microservices and scalable data ingestion pipelines with strong expertise in ETL/ELT orchestration tools (e.g., Airflow).
- Familiar with healthcare data privacy regulations and secure handling of medical data in compliance with industry standards.
- Operates effectively in cross-functional agile teams, collaborating with engineers and technical leaders to align integration solutions with platform architecture.