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 up-to-date 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

📌 Hiring: Azure Data Engineer (India)
🏢 Persistent Systems
📍 India