**Job Summary:**

The Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure to support AI-driven healthcare SaaS applications. This role ensures data integrity, security, and compliance while enabling advanced analytics and machine learning capabilities. The Data Engineer collaborates with cross-functional teams to deliver reliable data solutions that improve clinical and operational outcomes.

**Key Responsibilities:**

1. **Data Pipeline Development & ETL/ELT**

+ Expertise in building robust ETL/ELT pipelines using tools like Apache Airflow, Talend, or Informatica
+ Ability to transform raw healthcare data into structured formats for analytics and AI models

1. **Cloud Platform & Big Data Technologies**

+ Proficiency in AWS, Azure, or GCP for cloud-native development
+ Experience with big data frameworks such as Spark, Hadoop, Hive

1. **Healthcare Data Standards & Compliance**
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