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
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
