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 18 of the Fortune 50 companies, 7 of the 10 top US banks, 9 of the 10 technology companies, 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 have delivered 26 sequential quarters of growth with $487.6M in Q2 FY27 revenue, up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29,500+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.

About Position:

We are seeking for a Senior Azure Data Engineer, you will be responsible for designing, developing, and optimizing enterprise-scale data platforms that support analytics, reporting, and AI/ML initiatives. You will work closely with business stakeholders, data scientists, analysts, and engineering teams to build reliable, scalable, and secure data solutions using Azure, Databricks, Python, SQL, and modern cloud technologies. The ideal candidate will have strong expertise in data engineering, cloud services, big data processing, and healthcare data domains.

- Role: Azure Data Engineer
- Location: All Persistent Locations
- Experience: Between 5 to 10 Years
- Job Type: Full-Time Employment

What You'll Do:

- Design, develop, and support scalable data pipelines, ETL/ELT workflows, and enterprise data integration solutions.
- Build and optimize data ingestion, transformation,



and storage processes across cloud and enterprise data platforms.
- Develop robust data engineering solutions using Azure Databricks, Python, PySpark, SQL, and cloud-native services.
- Collaborate with business, analytics, and engineering teams to gather requirements and deliver high-quality data solutions.
- Implement data quality, governance, security, and monitoring frameworks to ensure platform reliability.
- Develop and maintain batch and real-time data processing solutions using Spark, Databricks, and Kafka.
- Build and support data warehouses, data marts, and analytical datasets for enterprise reporting and decision-making.
- Support AI/ML initiatives through feature engineering, data preparation, and scalable data pipelines.
- Implement CI/CD pipelines, automation frameworks, and DevOps best practices for data platform delivery.
- Monitor production workloads, troubleshoot performance issues, and perform root cause analysis.
- Follow engineering best practices including code reviews, documentation, testing, and release management.
- Work within Agile teams to deliver scalable and business-aligned data solutions.

Expertise You'll Bring:

- 5–10 years of experience in Data Engineering, ETL/ELT development, or Data Platform Engineering.
- Strong hands-on experience with Azure services including Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS).
- Advanced SQL skills with expertise in query optimization, performance tuning, and data transformation.
- Strong programming experience in Python with hands-on development experience in enterprise-grade applications.
- Experience with PySpark, Apache Spark, and large-scale distributed data processing.
- Expertise in designing, developing, and maintaining scalable data pipelines and integration frameworks.




- Experience working with cloud-based and on-premises relational databases such as SQL Server, Oracle, PostgreSQL, and Snowflake.
- Knowledge of Kafka and streaming data architectures.
- Strong understanding of data modeling, data warehousing, master data management, and data governance principles.
- Experience implementing CI/CD pipelines, Git-based version control, DevOps practices, and Agile methodologies.
- Robust analytical, problem-solving, and troubleshooting capabilities.
- Ability to work effectively with cross-functional teams and business stakeholders.
- Excellent verbal and written communication 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 Opportunity Employer and prohibits discrimination and harassment of any kind."

1

Open Positions

Databricks,Azure,PySpark

Skills Required

PUNE

Location

Databricks,Azure,PySpark

Desirable Skills

189229

Job Code

📌 Azure Data Engineer (Pune)
🏢 Persistent
📍 Pune