Oracle Health is focused on transforming healthcare through cloud-native solutions powered by AI. The role involves designing and building scalable data processing pipelines to enhance healthcare data analytics and improve patient care.
Responsibilities:
- Design and develop scalable data pipelines and AI-driven workflows
- Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation)
- Own end-to-end features from data ingestion through transformation and on to insights
- Optimize systems for performance, scale, and low latency
- Mentor junior engineers and contribute to design decisions
Requirements:
- BS/MS in Computer Science or equivalent
- 6+ years of relevant software engineering experience
- Strong software engineering skills in Python/Java
- Strong knowledge of SQL
- Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
- Experience building high-scale distributed data systems