Job Description:
The Sr. Data Engineer in our cutting-edge team will focus on revolutionizing healthcare through AI and generative AI technologies. This role will be instrumental in designing and implementing robust data pipelines to support the development of a Healthcare analytics data platform for a variety of healthcare applications and AI models. This is a critical role in transforming healthcare data into actionable insights, ensuring compliance with industry standards while leveraging cutting-edge technologies.

Data Engineering & Pipeline Development:
Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.
Develop and maintain scalable data pipelines for real-time and batch processing to meet meet traditional BI applications and AI/ML needs.
Work with structured, semi-structured, and unstructured data to create usable datasets for AI model training and deployment.

Database Management:
Manage and optimize a variety of databases, including Postges, NoSQL, graph databases,



and cloud-based databases like Snowflake and Redshift.
Ensure effective storage, retrieval, and integration of data across different systems.

AI Integration:
Collaborate with data scientists and AI engineers to create datasets for a variety of use cases.
Implement data annotation, curation, and augmentation techniques to enhance data readiness for AI/ML applications.

Healthcare Data Expertise:
Apply knowledge of healthcare data standards such as HL7 and FHIR, ensuring adherence to HIPAA compliance and other regulatory requirements.
Address challenges related to unstructured data extraction and large-scale data ingestion in EMR/EHR systems.

Collaboration & Innovation:
Work closely with cross-functional teams, including healthcare specialists, business analysts and data architects to understand and address data needs.
Ensure data quality, integrity, and security, especially when dealing with sen

📌 Sr Data Engineer Bengaluru
🏢 NextGen
📍 Bengaluru