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Data Modeler_Full-Time_Pune /Bangalore (Hybrid , 3 Days WFO)Job Title: Data ModelerJob Type: Full-TimeLocation: Pune /Bangalore (Hybrid , 3 Days WFO)Shift Timing: 2:30 PM to 10:30 PMExperience: 10-14 YearsJob Description:• Creation and management of business data models in all their forms, including conceptual models, logical data models and physical data models (relational database designs, message models and others).• Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design• Background working with key data domains as account, holding and transactions within security servicing or asset management space.• Expertise in designing data driven solution on Snowflake for complex business needs.• Knowledge of entire application lifecycle including Design, Development, Deployment, Operation and Maintenance in an Agile and DevOps culture.The Data Modeler/Architect is responsible for making data trusted, understood and easy to use.They you will be responsible for the entire lifecycle of the data architectural assets, from design and development to deployment, operation and maintenance, with a focus on automation and quality.Must Have Skills:• 10+ years of greater experience on working on large scale Corporate Data Models, UML class modelling, Business Analysis and engagement with Business SME’s, an understanding of turning requirements into models, and modelling between operational and analytical data planes.• 10+ years of hands-on knowledge on using a variety of databases, ie Snowflake, SQL, Document and/or working within the MS Azure environment.• 10+ years on a combination of SQL, Python, R, Data Analysis, data modelling, DDD Attributes etc.• Understanding of Leadership, Analytical, problem-solving, collaborative, detail oriented.• SQL, Python, R - 8+ years• Snowflake - Good 5-6 yearsTasks & responsibilities:• Create and manage business information models in all their forms, including conceptual models, logical data models and physical data models (relational database designs, message models and others).• Develop standardized data and analytics platform architecture and ensure the adoption of those across the business unit.• Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions, and work with the other data architects.• Assess the benefits and the risks of information by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy.• Enable effective data and analytics governance: Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.• Works closely with the Data Product Owners and delivery teams.• Partners with Engineers to develop robust automation of platform deployment and update processes• Documents design decisions and develops solutions while adhering to existing process guidelines.