About Position:

As a Senior Azure Data Engineer, you will be part of a high-performing data engineering team focused on building scalable, reliable, and secure data platforms that support healthcare innovation and business transformation. This role offers an opportunity to work with modern cloud technologies, distributed data processing frameworks, and real-time data streaming solutions to deliver impactful business outcomes.
- Role: Sr. Azure Data engineer
- Location: All Persistent Locations
- Experience: 6 to 10 Years
- Job Type: Full time Employment

What You'll Do:
- Collaborate with product owners, system analysts, architects, and engineering teams to deliver data solutions aligned with business objectives.
- Design, develop, test, and maintain scalable data-intensive applications and data pipelines.
- Build and optimize data ingestion, transformation, and processing frameworks using Databricks, Kafka, and Spark.
- Develop and maintain batch and real-time data processing solutions.
- Design and implement RESTful APIs and integrations across enterprise platforms.




- Work with relational and non-relational databases to support business-critical applications.
- Develop cloud-native solutions using Azure or AWS services.
- Implement and improve CI/CD pipelines, DevOps practices, and deployment strategies.
- Build and maintain software using automation tools, configuration management, and monitoring frameworks.
- Support Data as a Service (DaaS) and Container as a Service (CaaS) initiatives.
- Monitor application and platform health, troubleshoot issues, and drive operational excellence.
- Utilize Airflow for workflow orchestration and data pipeline scheduling.
- Participate in incident management processes and support tools such as ServiceNow.
- Contribute to reliability engineering, deployment planning, test automation, and fault-tolerant architecture design.
- Collaborate with quality engineering teams to ensure data platform reliability, scalability, and securi

📌 Senior Azure Data Platform Engineer (India)
🏢 Persistent Systems
📍 India