Job Description

Job Responsibilities

Build and maintain scalable data pipelines using

dbt

and

Snowflake

Design and manage models to transform raw data into analytics-ready datasets Optimize SQL queries and Snowflake performance (clustering, partitioning, tuning) Collaborate with analysts, scientists, and stakeholders to deliver data solutions Ensure data quality with automated testing, validation, and monitoring Document models, transformations, and pipeline processes clearly Manage deployments with Git, CI/CD, and dbt automation Monitor and troubleshoot pipeline issues proactively Automate workflows using

Python

and

Bash scripting

Qualifications & Skills

Strong expertise in

SQL, dbt, and Snowflake

Experience with cloud platforms (

AWS, Azure, GCP

) and orchestration tools (

Airflow, Fivetran

) Proficient in

Python

for automation and data engineering tasks Solid understanding of data warehousing and modeling (star schema, dimensional modeling) Excellent communication and problem-solving skills for cross-functional collaboration Proven experience in data engineering, ETL/ELT pipelines, and modern data architectures

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.


Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.


Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.