Data Modeler

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 years

Location: Pune, Hyderabad, Bangalore and Mumbai.

Please share your updated resume – aditya.utekar2@ltimindtree.com

Role:

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 Utekar

LTIMindtree