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 Senior Azure Data Engineer with strong expertise in Azure Databricks, Snowflake, PySpark, and modern data engineering practices. The ideal candidate will be responsible for designing, developing, and optimizing enterprise-scale data platforms that support advanced analytics, business intelligence, and digital transformation initiatives. The role requires deep technical expertise in cloud-based data architectures, ETL/ELT frameworks, data warehousing, and large-scale data processing. You will collaborate with architects, business stakeholders, analytics teams, and engineering groups to deliver scalable, secure, and high-performance data solutions across Azure and Snowflake ecosystems.

Role: Senior Azure Data Engineer Snowflake & Databricks
Location: Pune, Hyderabad, Chennai
Experience: 8 to 14 Years
Job Type: Full-Time Employment

What You'll Do

Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark.
Build and optimize ETL/ELT workflows for processing structured, semi-structured, and unstructured data.
Develop and manage Snowflake data warehouse solutions, including data modeling, transformation, and performance tuning.
Create reusable frameworks for data ingestion, orchestration, validation, and transformation.
Integrate data from multiple enterprise source systems into Azure Data Lake and Snowflake environments.
Design and implement modern data lakehouse architecture solutions.
Optimize data processing workloads for performance, scalability, reliability, and cost efficiency.
Implement enterprise data quality, governance, monitoring, and security controls.
Develop scalable data models and support business intelligence and analytics requirements.
Collaborate with business stakeholders, solution architects, and analytics teams to deliver data-driven solutions.
Troubleshoot and resolve production issues related to data pipelines, integrations, and cloud platforms.
Participate in architecture discussions and recommend data platform improvements.
Conduct code reviews and enforce data engineering best practices.
Implement CI/CD pipelines and deployment automation for data engineering projects.
Support cloud migration, modernization, and platform transformation initiatives.
Create and maintain technical documentation, design specifications, and operational runbooks.
Mentor junior engineers and support technical leadership initiatives within the team.

Expertise You'll Bring

814 years of experience in Data Engineering, Analytics, and Data Warehousing projects.
Strong hands-on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake.
Proven expertise in Snowflake including data loading, transformation, optimization, clustering, and data sharing.
Strong SQL development and query optimization skills.
Experience designing and implementing large-scale ETL/ELT pipelines.
Strong understanding of data warehousing concepts, dimensional modeling, and data architecture principles.
Experience with Azure services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Key Vault, Azure DevOps.
Expertise in designing and implementing Lakehouse architectures.
Experience processing large-scale structured and unstructured datasets.
Strong understanding of data governance, metadata management, and data quality frameworks.
Experience implementing enterprise security controls within cloud data platforms.
Hands-on experience with Git, branching strategies, and source control management.
Experience implementing CI/CD pipelines and DevOps practices for data engineering solutions.
Knowledge of performance tuning, workload optimization, and cloud cost management.
Familiarity with monitoring, logging, and operational support of enterprise data platforms.
Strong analytical, troubleshooting, and problem-solving capabilities.
Experience leading technical discussions and collaborating with cross-functional teams.
Excellent communication and stakeholder management skills.
Experience working in Agile and Scrum delivery environments.
Ability to mentor and guide junior engineers while contributing to technical excellence.

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. Databricks,ETL

Senior Azure Data Engineer Snowflake & Databricks