Data Modeler

Project Role : Data Modeler

Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.

Must have skills : Data Modeling Techniques and Methodologies

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Modeler, you will be responsible for understanding business requirements, data mappings, create and maintain data models through different stages using data modeling tools and handing over the physical design/DDL scripts to the data engineers for implementations of the data models. Your role involves creating and maintaining data models, ensuring performance and quality or deliverables.

Experience

• Overall IT experience (No of years) - 7+
• Data Modeling Experience - 3+
  
  

Key Responsibilities:

• Drive discussions with clients teams to understand business requirements, develop Data Models that fits in the requirements
• Drive Discovery activities and design workshops with client and support design discussions
• Create Data Modeling deliverables and getting sign-off
• Develop the solution blueprint and scoping, do estimation for delivery project.
  
  

Technical Experience:

Must Have Skills:

• 7+ year overall IT experience with 3+ years in Data Modeling
• Data modeling experience in Dimensional Modeling/3-NF modeling/No-SQL DB modeling
• Should have experience on at least one Cloud DB Design work
• Conversant with Modern Data Platform
• Work Experience on data transformation and analytic projects, Understanding of DWH.
• Instrumental in DB design through all stages of Data Modeling
• Experience in at least one leading Data Modeling Tools e.g. Erwin, ER Studio or equivalent
  
  

Good to Have Skills:

• Any of these add-on skills - Data Vault Modeling, Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling
• Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.
• Cloud Data Engineering, Cloud Data Integration
• Must be familiar with Data Architecture Principles.
  
  

Professional Experience:

• Strong requirement analysis and technical solutioning skill in Data and Analytics
• Excellent writing, communication and presentation skills.
• Eagerness to learn new skills and develop self on an ongoing basis.
• Good client facing and interpersonal skills
  
  

Educational Qualification:

• B.E. or B.Tech. must