Description

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future *

The Data Modeler is responsible for understanding the business requirements, coupling this with an in-depth knowledge of logical and physical data modelling and data solution design. You will be responsible for defining and maintaining the logical and physical data models, working with the Architecture and Data Engineering teams to Develop solutions which meet business need.• Understand and translate business needs into data models supporting long-term solutions.• Work with the Data Engineering to implement data strategies, build data flows and develop conceptual data models.• Optimize and update logical and physical data models to support new and existing projects.
Skills & Experience:• Strong communication skills, including prioritizing, problem-solving and interpersonal relationship building. • 5 years of hands-on relational, dimensional, and/or analytic experience.• Experience with data warehouse, data lake, and enterprise big data platforms.• Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) required.• Demonstrable experience of utilizing Data Modelling tools and techniques, applying best practice.• Demonstrable experience of working within a fast-paced change environment, dealing with large volumes of data.• Solid working knowledge of Advanced Analytics and Business Intelligence concepts (e.g. reporting, data analysis, ETL, data warehouse, data lake , visualization tools, dashboards). "

Qualifications

Technical Skills
SNoPrimary SkillProficiency Level *Rqrd./Dsrd.1Azure/AWS/GCP Cogn Services AdPL1Desired2PySparkPL1Required

* Proficiency Legends
Proficiency LevelGeneric ReferencePL1The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.PL2The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.PL3The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.PL4The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.