Role Title: Azure Data Engineer BU/Segment: Healthcare Analytics Responsibilities Design, develop, test, and deploy robust and scalable data pipelines using Azure Databricks, PySpark, and Spark SQL for processing large volumes of structured and unstructured data.

Implement workflow orchestration using Azure Data Factory and Databricks Workflows to automate ETL/ELT processes.

Implement and maintain CI/CD pipelines for Databricks notebooks, scripts, and configurations using Azure DevOps or GitHub Actions, promoting code across dev, test, and prod settings.

Develop and maintain healthcare data models, including data entities, relationships, and data flows, to support healthcare analytics and decision-making.

Design and implement enterprise-wide BI architectures. Develop and maintain data warehouses and data marts.

Develop and maintain reports, dashboards, and data visualizations.



Collaborate with stakeholders to understand business needs and provide data-driven insights Person attributes 6+ years of experience as a Data Engineer with a proven track record of building data pipelines in the cloud.

3+ years of hands-on experience with Azure Databricks

Robust experience with core Azure data services – Azure Data Lake Storage (Gen 2), Azure data factory.

Proficiency in Python and expert-level skills in SQL

Solid understanding of data warehousing concepts, dimensional modeling (star/snowflake schemas), and data architecture principles

Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) and version control systems (Git).

Demonstrated experience and knowledge of strategic problem solving and frameworks, and project management skills

Excellent written and verbal communication with the ability to establish credibility and solid relationships with stakeholders

📌 Area Manager Data Engineering Cloud Data Engineering Noida
🏢 EXL
📍 Noida