Job Description

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 recognised 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 market leaders transform their industries.

About Position:

As a Sr. Azure Data Engineer, you will have the prospect to be part of a highly skilled team focused on building modern, scalable, and secure healthcare data platforms that improve business outcomes and healthcare experiences. You will work closely with product owners, architects, software engineers, and business stakeholders to develop cloud-native data solutions that support analytics, reporting, operational intelligence, and data-driven decision-making.

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Role: Azure Data Engineer
- Location: Pune
- Experience: 6 to 10 Years
- Job Type: Full Time Employment

What You'll Do:

- Collaborate with product owners, system analysts, architects, and software engineers to deliver solutions aligned with Agile roadmaps.
- Design, develop, test, and maintain scalable data pipelines and data-intensive applications.
- Develop cloud-native data solutions using Azure or AWS platforms.
- Build and optimize data processing frameworks using Databricks,



Kafka, Spark, and Airflow.
- Design and implement batch and real-time data processing solutions.
- Develop and support APIs, relational databases, and non-relational data storage solutions.
- Build and maintain Data-as-a-Service (DaaS) capabilities and modern data platform services.
- Implement software engineering best practices including reliability engineering, fault-tolerant architectures, and test automation.
- Follow and continuously improve CI/CD and DevOps processes to enable faster and more reliable releases.
- Utilize configuration management, automation, deployment, and monitoring tools to support platform operations.
- Collaborate on quality strategies to ensure highly available, resilient, scalable, and secure data platforms.
- Monitor, troubleshoot, and resolve production issues using incident management processes and tools such as ServiceNow.
- Support healthcare data integration and analytics initiatives while ensuring data quality and compliance requirements.
- Participate in architecture reviews, code reviews, and technical design discussions.
- Work closely with business and technical teams to deliver innovative, data-driven solutions.

Expertise You'll Bring:

- 6 to 10 years of experience in Azure or AWS cloud-based data engineering environments.
- 5+ years of hands-on experience working with Databricks and Kafka.
- 2 to 4 years of experience developing data processing solutions using Spark.
- Strong experience with Airflow for workflow orchestration and pipeline scheduling.
- 2 to 3 years of experience working with Snowflake and modern cloud data platforms.
- Extensive experience building scalable ETL/ELT pipelines and enterprise data integration solutions.




- Strong knowledge of distributed data processing and big data architectures.
- Experience developing and supporting both relational and non-relational databases.
- Working knowledge of RESTful APIs and service-oriented architectures.
- Experience implementing CI/CD, DevOps, and automation practices for data platforms.
- Strong understanding of monitoring, observability, and incident management processes.
- Experience building highly available, scalable, and fault-tolerant data solutions.

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, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalisation 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.”

1

Open Positions

Data Bricks,Python,SQL

Skills Required

PUNE

Location

Data Bricks,Python,SQL

Desirable Skills

181709

Job Code

📌 Azure Data Engineer (India)
🏢 Persistent
📍 India