About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.

About Position

We are seeking an experienced Senior Azure Data Engineer to join our growing data engineering team and help build next-generation healthcare data platforms. In this role, you will work with large-scale data ecosystems, modern cloud technologies, and advanced analytics solutions to enable data-driven decision-making across the organization.

- Role: Senior Azure Data Engineer
- Location: All Persistent Locations
- Experience: Between 6 to 10 Years
- Job Type: Full Time Employment

What You'll Do

- Collaborate with product owners, architects, business analysts, and engineering teams to deliver data solutions aligned with an Agile roadmap.
- Design, develop, test, and maintain enterprise-scale data pipelines and data-intensive applications.
- Develop scalable cloud-based data solutions utilizing Azure or AWS services.
- Build and optimize large-scale data processing frameworks using Databricks and Apache Spark.
- Design and implement real-time and batch data ingestion pipelines leveraging Kafka.
- Develop and maintain workflow orchestration processes using Apache Airflow.




- Integrate data from multiple sources including APIs, relational databases, non-relational databases, and cloud platforms.
- Design and implement RESTful APIs to support data services and integrations.
- Support Data-as-a-Service (DaaS) and Container-as-a-Service (CaaS) initiatives.
- Develop fault-tolerant, highly available, and performance-optimized data architectures.
- Implement data quality, governance, security, and monitoring controls across the data platform.
- Collaborate with DevOps teams to improve CI/CD processes and deployment automation.
- Build and maintain infrastructure automation, monitoring frameworks, and operational dashboards.
- Utilize incident and service management tools such as ServiceNow to support production environments.
- Participate in deployment planning, troubleshooting, root cause analysis, and platform reliability initiatives.
- Collaborate on quality engineering strategies that ensure data platform resilience, scalability, and security.
- Continuously evaluate emerging technologies and recommend improvements to the data ecosystem.

Expertise You'll Bring

- Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent practical experience.
- 6-10 years of experience in Data Engineering, Big Data, or Cloud Data Platform development.
- 6-7 years of experience working with Azure or AWS cloud platforms.
- Minimum 5 years of hands-on experience with Databricks and Kafka.
- Strong experience building distributed data processing applications using Apache Spark.
- Experience working with Azure Data Services and cloud-native data architectures.
- Strong knowledge of batch and streaming data processing frameworks.
- Hands-on experience with Apache Airflow for workflow orchestration and scheduling.
- Experience with Snowflake data warehousing solutions.




- Strong understanding of relational and non-relational database technologies.
- Experience designing and consuming RESTful APIs.
- Knowledge of data modeling, data warehousing, and large-scale data management principles.
- Experience implementing CI/CD pipelines and DevOps practices for data platforms.
- Understanding of software engineering principles including reliability engineering, automation, and fault-tolerant architectures.
- Experience with containerization technologies and cloud-native deployment methodologies.
- Familiarity with ServiceNow and production support processes.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working within Agile delivery environments.
- Excellent communication and stakeholder collaboration abilities.

Benefits

- Competitive salary and advantages 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, flexible 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."

Databricks,Azure,PySpark

📌 Senior Azure Data Engineer (Nagpur)
🏢 Persistent Systems
📍 Nagpur