Data Platform Engineer

Industry: IT Services & Consulting

Department: Engineering Software & QA
Employment Type: Full-Time, PermanentRole Category: Software Development

Position Summary:

We are seeking an experienced Python Developer to join our engineering team, focusing on building scalable backend systems and data pipelines tailored for healthcare environments. The ideal candidate will have a background in working with clinical data standards and developing APIs to support healthcare operations.

Key Responsibilities:

• Develop and maintain backend services and applications using Python.
• Design and enhance data pipelines for processing healthcare-related data.
• Create RESTful APIs and enable seamless integration with third-party platforms such as EHRs and healthcare interoperability standards (HL7, FHIR).
• Collaborate with cross-functional teams, including data science, QA, and product stakeholders.
• Conduct code reviews, write unit tests, and ensure adherence to development best practices.
• Deploy and manage applications on cloud platforms such as AWS, Azure, or GCP.
• Document processes and support the deployment of solutions in live environments.

Required Qualifications & Skills:

• 3 to 6 years of hands-on experience in Python development.
• Solid understanding of object-oriented programming and software design patterns.
• Proficiency with frameworks such as Flask, Django, or FastAPI.
• Familiarity with healthcare data formats and standards (HL7, FHIR, DICOM) and understanding of HIPAA compliance.
• Experience working with both relational and NoSQL databases like PostgreSQL and MongoDB.
• Skilled in developing and integrating APIs and working with microservice-based architectures.
• Exposure to containerization tools such as Docker and orchestration using Kubernetes.
• Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud.
• Strong communication and analytical problem-solving skills.

Education:

• UG: B.Tech/B.E. or B.Sc in any specialization
• PG: MCA or equivalent in any specialization