Responsibilities:
Minimum 5 Years of experience
2-3+ years hand-on experience in Data Modeling expertise
Hands-on modeling and metadata management tools
Expertise in Data Management methodologies involving architecture, modeling, storage, security
Good understanding of data governance - defining strategy, developing goals, principles, and policies
Prior experience in data integration, interoperability, and data quality solutions.
Analytical and problem solver, excellent verbal, written and presentation skills
Working knowledge of modeling tools such as Erwin or Magic Draw, Enterprise Architect et.
Extremely good at Physical , logical, and conceptual Data Modeling
Taxonomy , Canonical data modeling, Data Modeling Normalization -3NF
Normalize Data Models from Scratch
Metadata Standards Framework (naming, classword)
In depth knowledge in anyone of modeling tools such as Erwin or Magic Draw or PowerDesigner or Enterprise Architect etc
Exposure to the development or use of Erwin/Magicdraw Data Modeling Tool APIs
Good understanding SKOS based Financial Industry Business Ontology or Banking Industry Data Models
Education:
Bachelor s degree/University degree or equivalent experience
Certification in Data Architecture / Modeling is a plus
Bachelor s degree/University degree