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