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Job Description:
Design and implement scalable, secure, and high-performance data pipelines using Snowflake.
Architect and manage data warehousing solutions and ETL/ELT processes using tools like dbt, Matillion, Talend, or Informatica.
Work closely with business stakeholders, data analysts, and BI developers to understand data requirements and translate them into robust data models.
Optimize Snowflake performance through query tuning, clustering, caching, and resource monitoring.
Implement and maintain data governance, data security policies, and access controls within Snowflake.
Collaborate with DevOps/Cloud teams to provision, monitor, and maintain Snowflake environments.
Perform data migration from legacy systems or other cloud data platforms (e.g., Redshift, BigQuery) to Snowflake.
Provide leadership and mentorship to junior data engineers and act as a technical SME for Snowflake.
Stay updated with the latest Snowflake features and best practices and evaluate their applicability.
Expertise in data modeling (dimensional, normalized/denormalized), data warehousing concepts, and star/snowflake schemas.
Excellent problem-solving skills, communication skills, and ability to work independently in a fast-paced environment.
Understanding of data governance, privacy (GDPR/CCPA), and security best practices.
Knowledge of CI/CD pipelines, Git, and DevOps practices for data environments.
Data
SnowFlake
BI Tool
Banking Domain
Job Description:
Design and implement scalable, secure, and high-performance data pipelines using Snowflake.
Architect and manage data warehousing solutions and ETL/ELT processes using tools like dbt, Matillion, Talend, or Informatica.
Work closely with business stakeholders, data analysts, and BI developers to understand data requirements and translate them into robust data models.
Optimize Snowflake performance through query tuning, clustering, caching, and resource monitoring.
Implement and maintain data governance, data security policies, and access controls within Snowflake.
Collaborate with DevOps/Cloud teams to provision, monitor, and maintain Snowflake environments.
Perform data migration from legacy systems or other cloud data platforms (e.g., Redshift, BigQuery) to Snowflake.
Provide leadership and mentorship to junior data engineers and act as a technical SME for Snowflake.
Stay updated with the latest Snowflake features and best practices and evaluate their applicability.
Expertise in data modeling (dimensional, normalized/denormalized), data warehousing concepts, and star/snowflake schemas.
Excellent problem-solving skills, communication skills, and ability to work independently in a fast-paced environment.
Understanding of data governance, privacy (GDPR/CCPA), and security best practices.
Knowledge of CI/CD pipelines, Git, and DevOps practices for data environments.
Data
SnowFlake
BI Tool
Banking Domain
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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