Tech Lead - Data Engineering

Virtusa helps its Clients by becoming a true extension of their software and data development capabilities. Through comprehensive and self-governing teams, they focus on scaling software products and data tools with outstanding quality. This role involves a project for a client in the pharma area.

• Strong hands-on expertise in Snowflake (data warehousing, performance tuning, security, cost optimization).
• Deep understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas).
• Advanced proficiency in SQL and complex query optimization.
• Extensive experience in ETL/ELT development, especially with DBT.
• Experience in data architecture and distributed data systems design.
• Strong exposure to CI/CD pipelines (Git, Jenkins, GitHub Actions, Azure DevOps).
• Experience working with cloud platforms (AWS).

Nice to have:

• Experience with Airflow.

• Lead the end-to-end architecture, design, and implementation of scalable data platforms using Snowflake.
• Define and enforce data architecture standards, including modeling, naming conventions, and best practices.
• Design and implement robust ETL/ELT pipelines using DBT and cloud-native tools.
• Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions.