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 seekinf for a Snowflake Data Engineer, you will play a key role in building and optimizing modern cloud-based data platforms that power healthcare analytics, reporting, and AI-driven solutions. You will work with large-scale healthcare datasets and leverage Snowflake, Azure, Databricks, PySpark, and modern data engineering practices to develop resilient, scalable, and secure data solutions. The role offers an opportunity to contribute to advanced analytics, real-time data processing, automation, and next-generation AI/GenAI initiatives.

- Role: Snowflake Data Engineer
- Location: All Persistent Locations
- Experience: 5 to 10 years
- Job Type: Full Time Employment

What You'll Do:

- Design, develop, and maintain scalable data engineering solutions using Snowflake, Azure Databricks, PySpark, Python, and SQL.
- Build, optimize, and support enterprise-grade ETL/ELT pipelines for structured and semi-structured healthcare data.
- Develop and manage data ingestion frameworks using Azure Data Services, Snowflake, Kafka, and Airflow.
- Design and implement scalable data models, data marts, and reusable datasets for enterprise reporting and analytics.
- Enable real-time and event-driven data processing through Kafka, streaming technologies, and CDC integrations.




- Develop and maintain cloud-native data platforms utilizing Azure services, Databricks, Snowflake, and Kubernetes-based environments.
- Build and support AI/ML and Generative AI use cases, including LLM-powered applications, RAG architectures, and advanced analytics solutions.
- Implement CI/CD pipelines, infrastructure automation, and DevOps best practices using GitHub Actions, Terraform, and Azure DevOps.
- Partner with business stakeholders, analysts, product owners, and architects to define requirements, metrics, and data solutions.
- Create source-to-target mappings and ensure data quality, completeness, lineage, governance, and traceability across data platforms.
- Perform root cause analysis, production support, troubleshooting, and performance optimization activities.
- Develop dashboards, reports, and analytical data products that provide actionable business insights.
- Ensure platform security, compliance, reliability, scalability, and operational excellence.
- Conduct code reviews, design reviews, knowledge-sharing sessions, and technical mentoring for junior engineers.
- Drive innovation by identifying opportunities for automation, process improvements, and AI-assisted engineering practices.

Expertise You'll Bring:

- 5 to 10 years of hands-on experience in Data Engineering and Data Warehouse development.
- Strong expertise in Snowflake, Azure Databricks, Spark (PySpark), Python, SQL, and up-to-date cloud data platforms.
- Experience working with Azure services such as Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Functions, Key Vault, and Azure DevOps.
- Strong knowledge of ETL/ELT frameworks, data integration patterns, and large-scale data processing architectures.
- Experience designing and implementing data solutions using Snowflake, Databricks, Kafka, Spark, and cloud-native technologies.
- Advanced SQL expertise including query optimization, stored procedures, data quality validation, and performance tuning.
- Hands-on experience with Kafka, event-driven architectures, CDC pipelines, and streaming data processing.
- Strong understanding of data modeling, dimensional modeling, master data management, and data warehousing concepts.




- Experience building and supporting production-grade data platforms in cloud environments.
- Working knowledge of Docker, Kubernetes, Infrastructure as Code, and automation frameworks.
- Experience with GitHub, GitHub Actions, CI/CD pipelines, Terraform, and DevOps methodologies.
- Practical experience supporting AI/ML initiatives through feature engineering, data preparation, and scalable data pipelines.
- Exposure to Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI-assisted development tools.
- Experience working with healthcare datasets including claims, pharmacy, provider, member, and eligibility data.
- Strong understanding of data governance, privacy, security, compliance, and enterprise data management best practices.
- Experience with Agile methodologies, Scrum teams, Rally, and ServiceNow.
- Excellent problem-solving, stakeholder management, analytical thinking, and 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,Snowflake

Skills Required

PUNE

Location

Databricks,Snowflake

Desirable Skills

189101

Job Code

📌 Snowflake Data Engineer (Pune)
🏢 Persistent
📍 Pune