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Job Title


Data Modeler


Company : LTIMindtree


Location : Bengaluru, Karnataka


Created : 2025-12-18


Job Type : Full Time


Job Description

LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.We are Hiring for Data Modeler!!Experience: 8 to 16 yearsLocation: Pune, Hyderabad, Bangalore and Mumbai.Please share your updated resume – aditya.utekar2@Role: Data Expert (Data Analyst & Data Modeler)To be successful in this role, you should meet the following requirements:- Strong Data Analysis and/or Data Modeling experience of 6-10 years. - Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping. - Should be an individual contributor with good understanding of the SDLC & Agile methodologies. - A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment. - Excellent communication & stakeholder management skills and should be capable of building rapport and relationships. - Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects. - Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). - Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. - Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.Regards,Aditya UtekarLTIMindtree