Data Modeling Techniques and Methodologies Professional

Job Overview

• Design, develop and maintain data solutions for data generation, collection, and processing.
• Create data pipelines, ensure data quality, and implement ETL (extract, transform and load)
• processes to migrate and deploy data across systems.

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 and/or 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
• Minimum 3 year(s) of experience is required