About Position:

We are hiring a Data Engineer with strong expertise in Snowflake, Informatica, and Python to design, develop, and support enterprise-scale data engineering solutions. The ideal candidate will be responsible for building scalable data pipelines, modern data platforms, and cloud-based analytics solutions while ensuring data quality, governance, and operational excellence across the organization.

- Role: Data Engineer
- Location: All Persistent Location
- Experience: 8 to 18 years
- Job Type: Full time Employment

What You'll Do:

- Design, develop, and support enterprise-scale data engineering solutions using Snowflake, Databricks, Informatica, and cloud-native technologies.
- Build scalable ETL/ELT pipelines to ingest, transform, validate, and process structured and unstructured data.
- Develop backend services, APIs, and data applications using Python.
- Design and implement data warehouse, lakehouse, and analytical data models to support business intelligence and AI use cases.
- Create reusable data frameworks, ingestion components, and transformation pipelines.
- Collaborate with product owners, architects, data scientists, and platform teams to define technical solutions.
- Lead end-to-end solution delivery including architecture, development, deployment, monitoring, and optimization.
- Implement and maintain CI/CD pipelines for data engineering and AI workloads.
- Develop and support MLOps/LLMOps frameworks for machine learning and Generative AI solutions.
- Integrate monitoring, observability, logging, and alerting capabilities across data and AI platforms.
- Optimize Snowflake, Databricks, and SQL workloads for performance, scalability, and cost efficiency.
- Ensure data quality, security, governance, and compliance requirements are met.
- Participate in Agile ceremonies including sprint planning, estimation,



backlog refinement, and design reviews.
- Support production incidents, troubleshooting, root cause analysis, and continuous platform improvement initiatives.
- Create technical documentation, architecture diagrams, operational runbooks, and best-practice guidelines.

Expertise You'll Bring:

- Bachelors or masters degree in computer science, Information Technology, Data Engineering, Artificial Intelligence, or a related discipline.
- 8-18 years of experience in Data Engineering, Data Warehousing, Cloud Platforms, or Analytics Engineering.
- Strong hands-on experience with Snowflake, Databricks, Informatica, ETL/ELT processes, and enterprise data integration.
- Advanced SQL expertise includes complex queries, performance tuning, and data optimization.
- Strong Python programming experience with backend engineering and API development.
- Experience designing scalable data models, data warehouses, lake houses, and enterprise analytics platforms.
- Hands-on experience with Azure cloud services and cloud-native architecture patterns.
- Expertise in building and managing CI/CD pipelines using Azure DevOps, GitHub, Jenkins, or similar tools.
- Experience implementing MLOps and LLMOps practices including model deployment, monitoring, governance, and lifecycle management.
- Knowledge of AI/ML workflows, Generative AI platforms, vector databases, and modern AI architectures.
- Strong understanding of data governance, data quality,



security, and compliance frameworks.
- Experience working in Agile/Scrum delivery models and cross-functional teams.
- Ability to own solutions end-to-end from architecture design through deployment and operational support.
- Excellent analytical, troubleshooting, and problem-solving capabilities.
- Robust communication and stakeholder management skills.

Advantages:

- 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."

📌 Data Engineer (Pune)
🏢 Persistent
📍 Pune