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 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. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026.

About Position:

As a Senior Azure Data Engineer, you will be part of a high-performing data engineering team focused on building scalable, secure, and reliable cloud-based data platforms. You will collaborate with architects, product owners, analysts, and software engineers to design and implement modern data solutions that support enterprise analytics, reporting, and healthcare data initiatives.

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Role: Senior 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, business stakeholders, architects, and engineering teams to deliver scalable data solutions.
- Design, develop, test,



and maintain enterprise-scale data engineering solutions using Databricks, Spark, Kafka, and cloud technologies.
- Build and optimize batch and real-time data processing pipelines using Spark and Kafka.
- Develop and support scalable data ingestion, transformation, and integration frameworks.
- Design and manage workflows using Apache Airflow and modern orchestration tools.
- Develop APIs and data services supporting enterprise analytics and business applications.
- Build and maintain cloud-native data platforms using Azure or AWS services.
- Support continuous integration, continuous deployment, and DevOps automation initiatives.
- Implement monitoring, logging, alerting, and operational excellence practices.
- Collaborate on architecture decisions related to scalability, resilience, performance, and security.
- Support incident management and production issue resolution using tools such as ServiceNow.
- Participate in Agile ceremonies including sprint planning, backlog grooming, development, testing, and release activities.
- Ensure data quality, platform reliability, security, governance, and compliance requirements are met.

Expertise You'll Bring:

- 6-10 years of experience in Data Engineering and Cloud Data Platform development.
- Strong hands-on experience with Azure or AWS cloud platforms.
- Extensive experience with Azure Databricks for enterprise-scale data engineering workloads.
- Strong expertise in Kafka for real-time streaming and event-driven architectures.
- Hands-on experience with Spark and distributed data processing frameworks.
- Experience designing, developing, and supporting large-scale ETL/ELT pipelines.
- Knowledge of relational and non-relational databases and modern data storage platforms.
- Strong understanding of data engineering best practices, reliability engineering, and fault-tolerant architecture.




- Experience implementing DevOps, CI/CD, configuration management, and deployment automation.
- Knowledge of Data-as-a-Service and Container-as-a-Service models.
- Hands-on experience with Apache Airflow and workflow orchestration solutions.
- Working knowledge of RESTful APIs and integration patterns.
- Experience supporting Snowflake-based analytical platforms.
- Strong troubleshooting, debugging, performance tuning, and root cause analysis capabilities.
- Experience working in Agile delivery environments and cross-functional teams.
- Excellent communication and stakeholder management skills.

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 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 Prospect Employer and prohibits discrimination and harassment of any kind.”

1

Open Positions

Snowflake,PySpark

Skills Required

PUNE

Location

Snowflake,PySpark

Desirable Skills

186722

Job Code

📌 Senior Azure Data Engineer (Pune)
🏢 Persistent
📍 Pune