Tech Lead - Data Engineering

• 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).

Virtusa helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.

We are looking for experienced team players to fill the position of Tech Lead - Data Engineering and participate in our up-and-coming project for our client from the pharma area .

,[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.] Requirements: AWS, Snowflake, dbt, SQL, ETL/ELT, CI/CD, Git, Jenkins, GitHub Actions, Azure DevOps Additionally: Sport subscription, Private healthcare, International projects.