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Job description
Implement data transformation workflows using DBT (Data Build Tool).
Write efficient, reusable, and reliable code in Python.
Optimize and tune data solutions for performance and scalability.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Ensure data quality and integrity through rigorous testing and validation.
Stay updated with the latest industry trends and technologies in data engineering. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience as a Data Engineer or similar role.
Strong proficiency in AWS and Snowflake.
Expertise in DBT and Python programming.
Experience with data modeling, ETL processes, and data warehousing.
Familiarity with cloud platforms and services.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Qualification
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
Key job details
Tamil Nadu, India
Hyderabad, Andhra Pradesh, India
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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