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Job description
Key Responsibilities
Design build and maintain ETLELT pipelines using Snowflake and DBT
Develop and optimize Snowflake data models including warehouse database schema structures tables and views
Build DBT models using best practices for modularity testing and documentation
Implement data ingestion from multiple sources using tools such as Airflow Snowpipe Fivetran or equivalent
Optimize Snowflake performance clustering query optimization warehouse sizing caching
Ensure data quality through unit tests data validation and DBT tests
Collaborate with analytics BI and product teams to understand business data needs
Implement best practices for CICD version control Git and automated deployments for DBT and Snowflake workflows
Monitor and troubleshoot pipeline issues ensuring high data availability and reliability
Maintain documentation for data models pipelines and system configurations
Required Skills Qualifications
47 years of experience in Data Engineering or similar role
Strong handson expertise with Snowflake warehousing databases performance tuning security Snowpipe tasks streams
Proficient in DBT CoreCloud for modeling transformations tests and documentation
Strong SQL skills analytical SQL performance tuning complex queries
Experience with ETLELT orchestration tools Airflow preferred
Good understanding of data modeling concepts StarSnowflake schemas normalization
Experience with cloud platforms AWSGCPAzure and related services
Familiarity with Git CICD pipelines and codefirst data engineering
Understanding of REST APIs and integration patterns
Strong problemsolving and analytical skills.
Qualification
We are seeking a skilled Data Engineer with strong handson experience in Snowflake as the primary data platform and working knowledge of DBT for data modeling and transformation The ideal candidate will design build and optimize scalable data pipelines that support analytics reporting and datadriven decisionmaking across the organization
Key Responsibilities
Design build and maintain ETLELT pipelines using Snowflake and DBT
Develop and optimize Snowflake data models including warehouse database schema structures tables and views
Build DBT models using best practices for modularity testing and documentation
Implement data ingestion from multiple sources using tools such as Airflow Snowpipe Fivetran or equivalent
Optimize Snowflake performance clustering query optimization warehouse sizing caching
Ensure data quality through unit tests data validation and DBT tests
Collaborate with analytics BI and product teams to understand business data needs
Implement best practices for CICD version control Git and automated deployments for DBT and Snowflake workflows
Monitor and troubleshoot pipeline issues ensuring high data availability and reliability
Maintain documentation for data models pipelines and system configurations
Required Skills Qualifications
47 years of experience in Data Engineering or similar role
Strong handson expertise with Snowflake warehousing databases performance tuning security Snowpipe tasks streams
Proficient in DBT CoreCloud for modeling transformations tests and documentation
Strong SQL skills analytical SQL performance tuning complex queries
Experience with ETLELT orchestration tools Airflow preferred
Good understanding of data modeling concepts StarSnowflake schemas normalization
Experience with cloud platforms AWSGCPAzure and related services
Familiarity with Git CICD pipelines and codefirst data engineering
Understanding of REST APIs and integration patterns
Strong problemsolving and analytical skills.
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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