Data Engineering Specialist

2 days ago

Thoothukudi, Tamil Nadu, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 20,00,000

About the Position

We are seeking a highly skilled Data Engineering Specialist with expertise in designing and implementing scalable data pipelines that integrate healthcare data. This is a critical role where you will create robust pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

This position requires collaboration with software engineers, ML specialists, and clinical partners to bring our vision to life.

  • Design, build, and operate scalable event-driven data pipelines that support real-time clinical workflows.
  • Integrate with Electronic Health Record (EHR)/Electronic Medical Record (EMR) systems using standards such as Fast Healthcare Interoperability Resources (FHIR) and Health Level Seven (HL7).
  • Develop reliable systems to ingest, track, and update clinical events in real-time.
  • Ensure downstream machine learning (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 (e.g., document ingestion, embedding storage, inference triggers).
  • 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 Structured Query Language (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.

Benefits

  • Knowledge of Health Insurance Portability and Accountability Act (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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