Description

You will own the design and implementation of enterprise-grade data pipelines within Azure.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines in Azure for healthcare data (EHR, claims, IoT, unstructured).
• Implement advanced data storage and processing using Azure Data Lake, Synapse Analytics, Databricks, and Azure SQL.
• Partner with data scientists to operationalize machine learning models supporting healthcare use cases.
• Automate workflows using Azure Data Factory, Databricks jobs, and CI/CD pipelines.
• Monitor, troubleshoot, and fine-tune production pipelines for scalability and cost efficiency.

Required Skills

• 8+ years of experience as a Data Engineer with extensive work in Azure cloud services.
• Strong proficiency in SQL, Python, PySpark, and Databricks.
• Hands-on expertise with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI.
• Experience designing and implementing ML solutions in a healthcare environment.
• Working knowledge of FHIR and HL7 standards.
• Familiarity with DevOps practices and CI/CD pipelines.
• Proven ability to deliver solutions in agile environments.

Key Skills

Education

Any Graduate