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 7.5 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 conceptual, logical and physical data models 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 efficient data models, ensuring performance and quality or deliverables.

Experience
- Overall IT experience (No of years) - 9+
- Data Modeling Experience - 4+


Key Responsibilities:
- Drive discussions with client teams to understand business requirements, develop Data Models that fits in the requirements
- Drive Discovery activities and design workshops with client and lead 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:
- 9+ year overall IT experience with 4+ 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 and Data Architecture Principles
- 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

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.
- Excellent client facing and interpersonal skills


Educational Qualification:
- B.E or B.Tech must

Qualification15 years full time education