Virtusa Lifespaces India Pvt Ltd Hiring for Snowflake at AP, IN, India Full Time

Job Description

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake.

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. 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 30,000 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.