Python, SQL, Snowflake, DBT

This role focuses on developing and maintaining data pipelines and solutions using Python, SQL, Snowflake, and DBT. The ideal candidate will be responsible for designing, building, and optimizing data models and ETL processes to support business intelligence and analytics initiatives.

Key Responsibilities:

Develop and maintain robust data pipelines using Python and SQL.
Design and implement data models within the Snowflake data warehouse.
Utilize DBT for data transformation and modeling.
Optimize SQL queries and data structures for performance.
Collaborate with stakeholders to understand data requirements.
Ensure data quality and accuracy.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

10 to 12 years of experience in data engineering or a related field.
Strong proficiency in Python and SQL.
Experience with Snowflake data warehouse.
Experience with DBT for data transformation.
Solid understanding of data modeling principles.
Experience with ETL processes.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

About the Company: Virtusa is a global provider of digital transformation solutions, helping clients leverage technology to solve complex business challenges. They focus on delivering innovative solutions across various industries, enabling businesses to thrive in a rapidly evolving digital landscape.