Description

You will design, build, and maintain scalable data pipelines and ETL processes using Azure Data Factory.

This role is hybrid.

Responsibilities

• Design and maintain data pipelines, ETL processes, and integration workflows using Azure Data Factory.
• 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.
• Collaborate with data scientists, analysts, and business teams to support diverse data needs.

Required Skills

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

Preferred Skills

• Experience with complex data integration workflows in regulated environments.

Key Skills

Education

Any Graduate