Data Modeling Techniques and Methodologies

Job Description

Project Role : Data Engineer Project Role Description : 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. Must have skills : Data Modeling Techniques and Methodologies Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have Skills : Data Modeling Techniques and Methodologies, SSI: NON SSI: Good to Have Skills :SSI: Data Engineering, Cloud Data Migration NON SSI : Job Requirements : Key Responsibilities : 1Drive discussions with clients deal teams to understand business requirements, how Industry Data Model fits in implementation and solutioning 2Develop the solution blueprint and scoping, estimation, staffing for delivery project and solutioning 3Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions 4Good to have Data Vault,Cloud DB design,Graph data modeling, Ontology, Data Engineering,Data Lake design Technical Experience : 1 7plus year overall exp,3plus Data Modeling,Cloud DB Model,3NF,Dimensional,Conversion of RDBMS data model to Graph Data ModelInstrumental in DB design through all stages of Data Model 2 Exp on at least one Cloud DB Design work must be familiar with Data Architecture Principles Professional Attributes : 1Strong requirement analysis and technical solutioning skill in Data and Analytics 2Excellent writing, communication and presentation skills 3Eagerness to learn and develop self on an ongoing basis 4Excellent client facing and interpersonal skills