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 security.
- Participate in Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives.

Expertise You'll Bring:

- 6 to 10 years of experience in Data Engineering, Software Engineering, or Cloud Data Platform development.
- 6 to 7 years of experience working with Azure or AWS cloud platforms.
- 5+ years of hands-on experience with Databricks and Kafka.
- 2 to 4 years of experience with Apache Spark and distributed data processing frameworks.
- 2 to 3 years of experience with Snowflake and up-to-date cloud data warehouse solutions.
- Robust understanding of real-time data streaming architectures and event-driven systems.
- Experience developing and maintaining large-scale ETL and ELT pipelines.
- Working knowledge of RESTful APIs and service-based architectures.
- Experience working with both relational and non-relational databases.
- Strong understanding of cloud-native application design and distributed systems.
- Experience with workflow orchestration tools such as Apache Airflow.
- Knowledge of DevOps methodologies, CI/CD pipelines, and deployment automation.
- Familiarity with containerization technologies and modern platform engineering practices.
- Experience with monitoring, observability,



and reliability engineering concepts.
- Strong troubleshooting, debugging, and production support skills.
- Experience working in Agile delivery environments.
- Excellent analytical, communication, and stakeholder management skills.
- Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent experience.

Benefits:

- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, versatile work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

📌 Azure Data engineer (Pune)
🏢 Persistent Systems
📍 Pune