Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
We are seeking a skilled and experienced Data Modeller to design, develop, and maintain conceptual, logical, and physical data models that support our business intelligence, analytics, and application development needs. The Data Modeller will work closely with business stakeholders, data architects, data engineers, and analysts to ensure data structures are optimized for performance, consistency, and scalability.
Key Responsibilities
Design and maintain conceptual, logical, and physical data models to meet business and technical requirements.
Collaborate with stakeholders to translate business requirements into data solutions.
Develop entity relationship diagrams ERDs, data dictionaries, and metadata documentation.
Ensure data models are aligned with enterprise architecture standards and follow best practices for naming, versioning, and governance.
Work with data engineers to optimize ETL ELT pipelines for data integration and transformation.
Support data product design initiatives.
Collaborate with BI and reporting teams to ensure models meet analytics and performance requirements.
Identify and resolve data related issues by analysing data discrepancies and improving quality.
Qualifications
Proven experience as a Data Modeller, Data Architect, or related role.
Strong knowledge of data modelling methodologies eg 3NF, dimensional modelling, Data products, star and snowflake schemas.
Hands on experience with data modelling tools eg ER Studio or Erwin.
Proficiency in SQL and experience with relational Oracle, PostgreSQL, MySQL and NoSQL databases.
Familiarity with ETL ELT tools and data integration practices.
Understanding of Data Mesh and Data product methodologies.
Experience with cloud data platforms Snowflake, AWS Redshift is highly desirable.
Knowledge of data governance, metadata management, and master data management MDM principles.
Strong analytical, problem solving, and communication skills.
Qualification
We are seeking a skilled and experienced Data Modeller to design, develop, and maintain conceptual, logical, and physical data models that support our business intelligence, analytics, and application development needs. The Data Modeller will work closely with business stakeholders, data architects, data engineers, and analysts to ensure data structures are optimized for performance, consistency, and scalability.
Key Responsibilities
Design and maintain conceptual, logical, and physical data models to meet business and technical requirements.
Collaborate with stakeholders to translate business requirements into data solutions.
Develop entity relationship diagrams ERDs, data dictionaries, and metadata documentation.
Ensure data models are aligned with enterprise architecture standards and follow best practices for naming, versioning, and governance.
Work with data engineers to optimize ETL ELT pipelines for data integration and transformation.
Support data product design initiatives.
Collaborate with BI and reporting teams to ensure models meet analytics and performance requirements.
Identify and resolve data related issues by analysing data discrepancies and improving quality.
Qualifications
Proven experience as a Data Modeller, Data Architect, or related role.
Strong knowledge of data modelling methodologies eg 3NF, dimensional modelling, Data products, star and snowflake schemas.
Hands on experience with data modelling tools eg ER Studio or Erwin.
Proficiency in SQL and experience with relational Oracle, PostgreSQL, MySQL and NoSQL databases.
Familiarity with ETL ELT tools and data integration practices.
Understanding of Data Mesh and Data product methodologies.
Experience with cloud data platforms Snowflake, AWS Redshift is highly desirable.
Knowledge of data governance, metadata management, and master data management MDM principles.
Strong analytical, problem solving, and communication 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 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 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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