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:
