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:

We are seeking an experienced Azure Data Engineer to join our growing data and analytics team. In this role, you will be responsible for designing, developing, and supporting scalable data platforms and pipelines using Databricks, Snowflake, PySpark, and SQL. You will work closely with business and technology teams to build reliable data solutions, optimize performance, and ensure operational excellence across enterprise data platforms.

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

What You'll Do:

- Design, develop,



and maintain scalable data pipelines using Azure Databricks, PySpark, and Snowflake.
- Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data.
- Investigate and resolve data quality issues, pipeline failures, and production incidents.
- Perform root cause analysis for framework, infrastructure, and data processing failures.
- Monitor, troubleshoot, and optimize Spark workloads for performance, reliability, and scalability.
- Collaborate with business stakeholders, architects, analysts, and development teams to gather requirements and deliver data solutions.
- Support production deployments and provide L2/L3 production support for critical data platforms.
- Implement data validation, monitoring, and governance practices to ensure data quality and integrity.
- Establish and enforce engineering best practices for coding standards, testing, performance tuning, and operational excellence.
- Develop reusable data engineering frameworks and automation capabilities.
- Participate in architecture discussions and contribute to continuous improvement initiatives.
- Work with cloud-native technologies and modern data platform architectures.

Expertise You'll Bring:

- 6-10 years of overall experience in Data Engineering and Big Data technologies.
- Strong hands-on experience with Azure Databricks and Snowflake.
- Extensive experience in developing complex ETL/ELT data pipelines.
- Strong proficiency in PySpark, SQL, and data analysis.
- Experience troubleshooting production issues, framework failures, and data inconsistencies.
- Proven expertise in distributed data processing and large-scale data engineering solutions.




- Strong understanding of data modeling, performance tuning, and optimization techniques.
- Experience working with Azure cloud services and modern data platform technologies.
- Ability to analyze complex technical issues and implement sustainable solutions.
- Strong problem-solving, debugging, and troubleshooting skills.
- Familiarity with data governance, data quality, and security best practices.
- Excellent communication and collaboration skills with cross-functional stakeholders.

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

Databricks,Azure

Skills Required

PUNE

Location

Databricks,Azure

Desirable Skills

186725

Job Code

📌 Azure Data Engineer (Pune)
🏢 Persistent
📍 Pune