Data Modeler

Strong proficiency in conceptual, logical and physical data modelling using 3NF, star/snowflake schemas, and Data Vault methodologies. 9 - 11 Years experience in design, develop, and maintain conceptual, logical, and physical data models that support business intelligence, analytics, and enterprise data management initiatives. The ideal candidate should possess strong expertise in data modeling, database design, data warehousing concepts, and SQL.

Responsibilities

9+ Years experience in architecting modern data Lakehouse platforms(Cloud or on-prem), migration from legacy warehouses, and designing scalable, cloud native data pipelines. Practical experience designing and deploying autonomous or semi autonomous AI agents using LLMs, RAG techniques, workflow orchestration and tool integration frameworks. Design and develop Conceptual, Logical, and Physical Data Models for enterprise applications and analytics platforms. Collaborate with business stakeholders, data architects, and development teams to understand data requirements.

Requirements

Data Modeling, Data Lakehouse / Modernization Architecture

Additional: Infosys is a global leader in next-generation digital services and consulting. Within the Data & Analytics unit, you will work on cutting-edge data engineering and analytics initiatives for global clients across industries. The role offers opportunities to work with cloud-native data platforms, modern analytics ecosystems, AI-driven solutions, and large-scale enterprise data modernization programs. Employees benefit from continuous learning programs, certifications, and career growth opportunities within Infosys' data and analytics practice