Highly Scalable Data Solutions Specialist

7 days ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Engineer Position

We are seeking a highly skilled Senior Data Engineer to join our team. This individual will play a critical role in designing and building the backbone of our AI-powered applications.

About the Role

The successful candidate will be responsible for creating 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 and operate event-driven data pipelines that support real-time clinical workflows.
  • Integrate with electronic health record (EHR) systems using standards such as Fast Healthcare Interoperability Resources (FHIR) and Health Level Seven International (HL7).
  • Develop reliable systems to ingest, track, and update clinical events in real-time.
  • Ensure downstream machine learning systems receive high-quality, structured data for inference and decision support.
  • Establish observability, monitoring, and error handling for robust pipeline performance.
  • Collaborate with machine learning 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 machine learning 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 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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