Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture:
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Role Summary:
We are looking for an experienced Data Modeler to design and develop scalable data models across modern data platforms. The role involves working closely with business stakeholders, data architects, and data engineering teams to build data foundations, analytical data marts, and business-ready data products.
The ideal candidate should have strong experience in data warehousing, dimensional modeling, data governance, and cloud-based analytics platforms.
Key Responsibilities:
- Design and maintain logical and physical data models.
- Define fact, dimension, and aggregate tables for reporting and analytics.
- Develop scalable data structures that support business intelligence and data-driven decision-making.
- Create and maintain source-to-target mapping documentation.
- Define business rules, data relationships, and transformation logic.
- Design data models across:
- Raw Data Layer
- Curated Data Layer
- Business/Semantic Layer
- Build and optimize dimensional models using Kimball methodology.
- Ensure consistency, reusability, and performance of analytical datasets.
- Support development of enterprise data marts and data products.
- Establish data standards, naming conventions, and modeling best practices.
- Ensure data lineage, metadata, and data dictionary documentation are maintained.
- Collaborate with governance teams to ensure compliance with data policies.
- Support data quality and reconciliation activities.
- Work closely with business analysts and stakeholders to understand reporting requirements.
- Facilitate data modeling workshops and design reviews.
- Translate business requirements into scalable data solutions.
- Provide guidance to data engineers during implementation.
Required Skills:
- Logical, Physical Data Modeling & Dimensional Modeling (Kimball)
- Star Schema & Snowflake Schema
- Fact & Dimension Design
- Snowflake / Databricks / Azure / AWS (any cloud data platform)
- Data Pipelines and ETL/ELT Concepts
- Metadata Management , Data Lineage , Data Dictionary & Data Quality Frameworks
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
Es posible que se requiera que los solicitantes asistan a entrevistas en persona o por videoconferencia. Además, es posible que se requiera que los candidatos presenten su identificación actual emitida por el estado o gobierno durante cada entrevista.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Si tienes una discapacidad que requiere adaptaciones razonables para buscar una vacante de trabajo o enviar una solicitud, puedes enviar un correo electrónico a [email protected] con tu solicitud e información de contacto.
