Strategic Data Infrastructure Leader

6 days ago

Gulbarga, Karnataka, India beBeeDataEngineer Full time ₹ 19,62,500 - ₹ 24,35,000
Senior Data Engineer Job

About this Role

We are seeking a Senior Data Engineer with deep expertise in building data pipelines and integrating healthcare data. You will report to the Head of AI and Engineering, responsible for designing, building, and operating the backbone of our AI-powered applications.

This is a critical role where you will create scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life.

Key Responsibilities:
  • Data Pipeline Design and Operation: Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
  • EHR/EMR Integration: Integrate with EHR/EMR systems (e.g., Epic) using standards such as FHIR and HL7.
  • Clinical Event Tracking: Develop reliable systems to ingest, track, and update clinical events in real-time.
  • ML System Support: Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
  • Pipeline Monitoring and Error Handling: Establish observability, monitoring, and error handling for robust pipeline performance.
  • Collaboration with ML Engineers: Collaborate with ML engineers to align data flows with model needs (e.g., document ingestion, embedding storage, inference triggers).
  • Pipeline Improvement: Continuously improve pipeline design to maximize scalability, resilience, and automation.
Required Skills and Qualifications:
  • Experience: 5+ years of experience building and maintaining production-grade data pipelines.
  • Workflow Orchestration: Strong background in workflow orchestration and event-driven systems.
  • Database Proficiency: Proficiency with relational databases and SQL (e.g., Postgres) as well as handling unstructured data.
  • Cloud Environment Experience: Experience operating in cloud environments and working with distributed, highly available systems.
  • Delivery Record: Track record of delivering data infrastructure that supports ML or analytics applications.
  • Communication Skills: Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team.
Bonus Requirements:
  • HIPAA Knowledge: Knowledge of HIPAA and healthcare data security/privacy requirements.
  • FHIR/HL7 Familiarity: Familiarity with FHIR/HL7 data modeling in production settings.
  • Machine Learning Experience: Experience supporting machine learning inference pipelines in real-world applications.
  • Image Data Expertise: Expertise with image data.
  • Vector Database Exposure: Exposure to vector databases, embedding stores, or document retrieval systems.
  • Healthcare IT Background: Background in healthcare IT, clinical workflows, or health data analytics.

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