Description

You build and maintain data infrastructure to support analytics and applications.

Responsibilities

• Design, build, and maintain data pipelines, ETL processes, and integration workflows using Azure Data Factory (ADF).
• Structure and optimize data lakes, data warehouses, and schemas for analytics and reporting.
• Perform data cleaning, transformation, and migration to support analytics and application integration.
• Troubleshoot pipeline failures, monitor performance, and implement process improvements.
• Ensure scalability, reliability, and data governance across all workflows.

Required Skills

• 5+ years of professional Data Engineering experience.
• Hands-on expertise with Azure Data Factory (ADF) and building ETL/ELT pipelines.
• Experience working with healthcare/clinical data, including HIPAA compliance and EHR systems.
• Proven ability to structure data lakes/schemas and optimize for performance.
• Solid SQL development and data modeling experience.
• Experience with Data Pipelines and Etl Processes.
• Ability to handle roles including data architecture, cleaning, and integration.
• Strong problem-solving and communication skills.

Key Skills

Education

Any Graduate