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Senior Data Infrastructure Specialist

3 weeks ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Our Data Engineer Role

We are seeking a skilled professional to lead the design and operation of our AI-powered applications' data backbone. You will work closely with software engineers, ML specialists, and clinical partners to build scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

Key Responsibilities:
  • Design, build, and operate event-driven data pipelines that support real-time clinical workflows.
  • Integrate with EHR/EMR systems using standards like 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.
  • Collaborate with ML engineers to align data flows with model needs.
  • Continuously improve pipeline design to maximize scalability, resilience, and automation.
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 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.
Preferred 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.