Data Modeler

Job Overview:

• Deep expertise in conceptual, logical, and physical data modeling utilizing 3NF, star, and snowflake schema designs, as well as Data Vault methodologies.
• 5 to 7 years of experience in the design, development, and maintenance of conceptual, logical, and physical data models that facilitate business intelligence analytics and enterprise data management strategies.
• The ideal candidate will have a strong background in data modeling, database architecture, data warehousing principles, and proficiency in SQL.

Core Responsibilities:

• 5 years of experience in architecting contemporary data Lakehouse platforms, including migration from legacy data warehouses to cloud or on-premises solutions, along with the design of scalable, cloud-native data pipelines.
• Hands-on experience in designing and implementing autonomous or semi-autonomous AI agents utilizing LLMs, RAG techniques, workflow orchestration, and tool integration frameworks.
• Create and develop Conceptual, Logical, and Physical Data Models for enterprise applications and analytics platforms.
• Engage with business stakeholders, data architects, and development teams to gather and understand data requirements.

Technical Qualifications:

• Proficiency in Data Modeling, Data Lakehouse Modernization, and Architecture.

Additional Duties:

• Infosys stands as a global frontrunner in next-generation digital services and consulting.
• In the Data Analytics division, you will contribute to pioneering data engineering and analytics projects for clients worldwide across various sectors.
• This position offers chances 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's data and analytics practice.

Desired Skills:

Technology->Database->Data Modeling