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Data Engineer (EPIC Clarity)

Salt
Abu Dhabi Emirate, UAE
Contract
Mid-Senior
AED 20,000/month
3 months ago
GitSAPScala
Free

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Overview

*****HIRING*****

Salary – AED 20,000 Per Month

Contract Length – 12 Months with a further 1-year extension

Abu Dhabi (Onsite) Experience – 5+ Years

My client is seeking a Data Engineer

with strong expertise in

Epic Clarity

and Microsoft Fabric

to build scalable, AI-ready healthcare data platforms.

This role will focus on designing Fabric Lakehouse’s, extracting and transforming Epic Clarity data, and automating AI training pipelines for predictive healthcare analytics.

You will play a critical role in building longitudinal patient datasets and ensuring high-quality, drift-free data feeds for AI and advanced analytics.

Data Engineering & Fabric Ecosystem

  • Design and implement Fabric Lakehouse architecture optimized for AI training, historical analytics, and healthcare reporting.
  • Develop scalable data models to support large-scale patient data ingestion and analytics.

Epic Clarity Data Mining

  • Perform advanced data extraction from Epic Clarity to build longitudinal patient records.
  • Create structured datasets for retrospective analysis and AI model validation.
  • Ensure data accuracy, consistency, and regulatory compliance (HIPAA, PHI standards).

Pipeline Automation & Ai Enablement

  • Build and manage automated pipelines using Microsoft Fabric Data Factory.
  • Ensure continuous refresh of AI training datasets to prevent data drift.
  • Implement monitoring, alerting, and validation checks for healthcare data pipelines.

Data Quality, Governance & Security

  • Enforce data governance, lineage, and auditability within Fabric.
  • Implement role-based access control (RBAC) and PHI-safe data handling

Required Skills & Experience

  • 5+ years of experience in Data Engineering in healthcare, life sciences, or regulated industries.
  • Strong hands-on experience with Epic Clarity (SQL-based reporting database).
  • Deep expertise in Microsoft Fabric, including
  • Lakehouse

• Fabric Data Factory

  • OneLake
  • Strong SQL and data modelling skills for healthcare datasets.
  • Experience building AI-ready data pipelines for ML training and validation.
  • Knowledge of HIPAA compliance, PHI handling, and healthcare data standards

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