The ideal candidate will have hands-on experience with Snowflake and DBT, as well as foundational knowledge of Python for data scripting and automation. Exposure to AWS cloud environments is a plus. This role offers the opportunity to work on cutting-edge data solutions that support key business initiatives.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using DBT and Snowflake.
Perform data modeling, transformation, and integration tasks to support business requirements.
Write and maintain clean, efficient Python scripts for automation and workflow orchestration.
Ensure data quality, integrity, and performance through best practices and testing.
Collaborate with cross-functional teams including analytics, operations, and engineering.
Participate in code reviews, sprint planning, and agile delivery processes.
Monitor and optimize existing data workflows and troubleshoot issues as they arise.
Must-Have Skills:
Strong experience with Snowflake (data warehouse design, performance tuning, SQL).
Proficient in DBT (Data Build Tool) for transforming and modeling data.
Basic knowledge of Python, particularly for scripting and automation in a data environment.
Nice-to-Have Skills:
Familiarity with AWS services such as S3, Lambda, Glue, or Redshift.
Understanding of CI/CD and version control systems like Git.
Qualifications:
6+ years of experience in data engineering or a related discipline.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
We are seeking a skilled and proactive Data Engineer to join our team.
The ideal candidate will have hands-on experience with Snowflake and DBT, as well as foundational knowledge of Python for data scripting and automation. Exposure to AWS cloud environments is a plus. This role offers the opportunity to work on cutting-edge data solutions that support key business initiatives.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using DBT and Snowflake.
Perform data modeling, transformation, and integration tasks to support business requirements.
Write and maintain clean, efficient Python scripts for automation and workflow orchestration.
Ensure data quality, integrity, and performance through best practices and testing.
Collaborate with cross-functional teams including analytics, operations, and engineering.
Participate in code reviews, sprint planning, and agile delivery processes.
Monitor and optimize existing data workflows and troubleshoot issues as they arise.
Must-Have Skills:
Strong experience with Snowflake (data warehouse design, performance tuning, SQL).
Proficient in DBT (Data Build Tool) for transforming and modeling data.
Basic knowledge of Python, particularly for scripting and automation in a data environment.
Nice-to-Have Skills:
Familiarity with AWS services such as S3, Lambda, Glue, or Redshift.
Understanding of CI/CD and version control systems like Git.
Qualifications:
6+ years of experience in data engineering or a related discipline.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Key job details
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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