Job Title: Data Engineer (Python dbt Snowflake Airflow)

Role Summary

Key Responsibilities
- Design and maintain batch and incremental ELT pipelines using Python and Airflow
- Build analytics models using dbt (staging, marts, tests, documentation)
- Develop and optimize Snowflake schemas, warehouses, and SQL performance
- Implement data quality checks, monitoring, and failure handling
- Support production pipelines, SLAs, and on-call rotation
- Follow Git-based CI/CD and engineering best practices

Required Skills:
- Strong Python and SQL:
- Hands-on Snowflake experience (performance, security, cost)
- Production dbt experience (models, tests, macros)
- Apache Airflow for orchestration
- Solid understanding of ELT, dimensional modeling, and data quality

Experience
- 4-8+ years in data engineering or analytics engineering
- Bachelor’s degree in Computer Science or related field

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 excellent 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.

📌 Aiml Snowflake (Bengaluru)
🏢 Virtusa
📍 Bengaluru