Senior Data Expert

1 day ago

Thrissur, Kerala, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
About the Role

We are seeking a seasoned data expert with expertise in building scalable data pipelines and integrating healthcare data to support our AI-powered applications.

This role requires collaboration with software engineers, ML specialists, and clinical partners to bring our vision to life. The ideal candidate will report to the Head of AI and Engineering and be responsible for designing, building, and operating the backbone of our AI applications.

Key Responsibilities:
  • Design and build event-driven data pipelines that support real-time clinical workflows.
  • Integrate with EHR/EMR systems using standards such as FHIR and HL7.
  • Develop reliable systems to ingest, track, and update clinical events in real-time.
  • Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
  • Establish observability, monitoring, and error handling for robust pipeline performance.
Requirements:
  • 5+ years of experience building and maintaining production-grade data pipelines.
  • Strong background in workflow orchestration and event-driven systems.
  • Proficiency with relational databases and SQL (e.g. Postgres) as well as handling unstructured data.
  • Experience operating in cloud environments and working with distributed, highly available systems.
  • Track record of delivering data infrastructure that supports ML or analytics applications.
  • Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team.
Bonus Requirements:
  • Knowledge of HIPAA and healthcare data security/privacy requirements.
  • Familiarity with FHIR/HL7 data modeling in production settings.
  • Experience supporting machine learning inference pipelines in real-world applications.
  • Expertise with image data.
  • Exposure to vector databases, embedding stores, or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

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