Data Modeling Techniques and Methodologies Professional

About this role

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