Data Modeler

3 weeks ago

Newark, United States Cognizant Full time

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.


By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.


Location: Newark, NJ

Onsite


Job summary

We are seeking a highly skilled and experienced hands-on Information Architect to join our team. As Information Architect /Data Modeler, you will be responsible for designing and developing logical and physical data models that represent an organization's data requirements and business processes. You will work closely with stakeholders, database administrators, developers, and data analysts to ensure accurate and efficient data management.

Your Impact:

Requirements Analysis: Collaborating with business stakeholders and data users to understand their data needs, business processes, and reporting requirements. This involves gathering requirements, conducting interviews, and analyzing existing systems.


Data Modeling: Creating logical and physical data models that represent the structure, relationships, and constraints of the organization's data. This includes designing entity-relationship diagrams, data flow diagrams, and data dictionaries using industry-standard modeling techniques.


Database Design: Translating the logical data model into a physical database design that is optimized for performance, scalability, and data integrity. This includes defining table structures, indexes, and data types while adhering to database management system (DBMS) constraints.


Data Integration: Collaborating with data integration teams to ensure seamless integration of data from various sources into the organization's databases. This involves mapping data elements and transforming data to conform to the data model.


Collaboration and Communication: Working closely with cross-functional teams, such as database administrators, developers, and data analysts, to align data model designs with system requirements. Effective communication and collaboration are essential to ensure data model implementation aligns with business objectives.


Documentation and Standards: Documenting data models, data definitions, and data standards to provide clear guidelines for data management. This documentation serves as a reference for developers, data analysts, and other stakeholders.


Data Governance: Collaborating with data governance teams to establish and enforce data management policies, standards, and best practices. This involves ensuring compliance with data privacy regulations and promoting data stewardship.


Your Required Skills:

  • years of experience of in Data Modeling and Database Designing in Relational and Non-Relational Database, at least 5+ years in Financial Industries focused on Fixed Income Products,
  • degree in Computer Science, Information Systems, or a related field.
  • in SQL, data querying, and performance optimization techniques.
  • in using Data Modeling tools like Erwin, ER Studio and DBT.
  • experience in building Dimensional as well as highly normalized data models for OLTP.
  • with cloud infrastructure technologies like containers, Kubernetes, and serverless computing.
  • working with Data Governance tools like Collibra, Informatica.
  • building catalogues, business terms, technical metadata and data lineage.
  • problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
  • experience with data structures, data modeling, data lineage and data catalogues.


Your Desired Skills:


  • with Snowflake highly desirable
  • in cloud platforms or data management (e.g., AWS Certified Solutions Architect etc.) are highly desirable.


The annual salary depends on experience and qualifications of the successful candidate.


This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.


Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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