Data Engineer - Snowflake, Python
VirtusaChennai, Tamil Nadu, India
Posted January 12, 2026
Full Time
About the Company
Virtusa is a global product and platform engineering firm headquartered in Massachusetts that delivers end‑to‑end digital transformation services across finance, healthcare, media, and technology sectors. The company blends strategy, design, and engineering to create domain‑driven solutions that accelerate growth, profitability, and sustainability for its clients. Virtusa’s expertise spans AI advisory, cloud and security, digital engineering, and emerging technologies, enabling enterprises to reimagine operations and deliver better customer experiences. With a distributed delivery model and a focus on real‑world business impact, Virtusa differentiates itself by combining deep industry knowledge with cutting‑edge technology to drive tangible results.
Job Description
We are looking for a skilled Software & Data Engineer with expertise in Python, AWS, Snowflake, and modern data engineering practices to design, develop, and maintain robust data pipelines and backend systems.
Requirements
- Design and develop end-to-end data pipelines using Python, DBT, and Snowflake
- Ensure code quality through best practices
- Use Infrastructure as Code tools (Terraform/CloudFormation) to automate infrastructure deployment
- Integrate data from multiple sources using AWS Glue, Lambda, Athena, S3, and Step Functions
- Ensure data quality using unit testing, automated testing frameworks
- Implement CI/CD pipelines using GitHub Actions, Jenkins, or similar tools
- Optimize pipeline performance and cost and monitor for issues in production environments
- Support version-controlled, testable, and maintainable code
- Maintain up-to-date documentation for software designs, processes, and codebases
- Contribute to project planning and estimation efforts
- Stay updated with new technologies, tools, and industry trends
Benefits
- Opportunity to work with a high-performing, cross-functional Agile/Data Engineering team
- Collaboration with data scientists, engineers, and stakeholders
- Reliable, secure, and scalable data solutions to support R&D and business analytics