Quest Global
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Thiruvananthapuram · On-site · 5-8 Yrs · Sep 8
Information Technology Support Services · 10000+ Employees · Singapore, Singapore
At Quest Global, it's not just what we do but how and why we do it that makes us different. We're in the business of engineering, but what we're really creating is a brighter future. For over 25 years, we've been solving the world's most complex engineering problems. Operating in over 20 countries, with over 100 global delivery centers, our 22,000+ curious minds embrace the power of doing things differently to make the impossible possible. Using a multi-dimensional approach, combining technology, industry expertise, and diverse talents, we tackle critical challenges faster and more effectively. And we do it across the Aerospace & Defense, Automotive, Energy, Hi-Tech, MedTech & Healthcare, Rail and Semiconductor industries. For world-class end-to-end engineering solutions, we are your trusted partner.
Hiring: Engineering
What employees say
+ Good to work for carrier initial stage
− Compensations and benefits will be less
More reviews on the company profile.
Interview experience · Data Analyst
It was good. The process was not that tough and it was quick onboarding for me as a data analyst. The interview questions were easy and the HR round was good too.
Average difficulty · Bengaluru · 596 reports
More interview insightsJob description
Overview
Key areas of responsibility • Design and develop cloud-native backend microservices that collect data from medical systems, hospital information systems, radiology information systems, and PACS.
Responsibilities
- Design and develop cloud-native backend microservices that collect data from medical systems, hospital information systems, radiology information systems, and PACS.
- Build ingestion pipelines for healthcare and imaging data, including DICOM and HL7 formats.
- Extend platform data-collection frameworks to support new data sources, integrations, and cloud-based workflows.
- Develop reliable, scalable, and fault-tolerant data-transport services with appropriate retry, error-handling, monitoring, and dead-letter mechanisms.
- Collaborate with data engineers to ensure ingested data meets defined schema, integrity, and quality standards.
- Package and deploy services using containers and Kubernetes.
- Contribute to automated build, testing, deployment, and CI/CD processes.
- Work with technical leaders and system engineers to align integration solutions with the wider platform architecture.
- Ensure services comply with cybersecurity, data-privacy, and regulatory requirements for healthcare and medical-device software.
- Develop unit, integration, and end-to-end tests and maintain clear documentation for APIs, data flows, and deployment configurations.
Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 5–10 years of experience in backend or cloud software development.
- Python — backend microservice development
- PySpark — data processing at scale
- Microservices — REST API design and inter-service communication
- Data modelling — understanding of data schemas and integration patterns
- Kubernetes — containerized service deployment and operations
- ETL/ELT – Pipeline design and orchestration (e.g., Airflow, Step Functions, or equivalent)
- SQL
- AWS
- Familiarity with message brokers (e.g., Kafka, NATS, RabbitMQ) for event-driven data ingestion.
- Understanding of data privacy regulations and secure data handling practices in healthcare.
- Good collaboration skills in cross-functional agile teams.
- Proficiency in leveraging AI-assisted development tools to accelerate coding and testing.
Nice to have
- Healthcare data standards: HL7, DICOM
- Clinical/IGT analytics platforms experience
- Streaming data technologies: Kafka, Kinesis, NATS
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Job application FAQ
Last updated 19 September 2026
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- Is Data Engineer - Python | PySpark | ETL/ELT remote or on-site in Thiruvananthapuram, Keralam?
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