Data Modeler

Job Overview:

• Expertise in conceptual, logical, and physical data modeling utilizing 3NF, star, snowflake schemas, and Data Vault techniques.
• 9 to 11 years of experience in designing, developing, and maintaining conceptual, logical, and physical data models that facilitate business intelligence, analytics, and enterprise data management efforts.
• The successful candidate will have a robust understanding of data modeling, database design, data warehousing principles, and SQL.

Primary Responsibilities:

• Over 9 years of experience in architecting contemporary data Lakehouse platforms, managing cloud or on-premises migrations from legacy warehouses, and creating scalable, cloud-native data pipelines.
• Hands-on experience in designing and implementing autonomous or semi-autonomous AI agents using LLMs, RAG techniques, workflow orchestration, and tool integration frameworks.
• Develop and create Conceptual, Logical, and Physical Data Models for enterprise applications and analytics solutions.
• Engage with business stakeholders, data architects, and development teams to gather and understand data requirements.

Technical Qualifications:

• Data Modeling, Data Lakehouse Modernization, Architecture.

Additional Duties:

• Infosys stands as a global frontrunner in next-generation digital services and consulting.
• As part of the Data Analytics unit, you will be involved in pioneering data engineering and analytics projects for international clients across various sectors.
• This position offers the chance to engage with cloud-native data platforms, modern analytics ecosystems, AI-driven solutions, and extensive enterprise data modernization initiatives.
• Employees enjoy access to continuous learning programs, certifications, and opportunities for career advancement within Infosys' data and analytics practice.

Desired Competencies:

Technology->Database->Data Modeling