NTT

8 hours ago

Data Modeler

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Design and build scalable enterprise data models spanning relational databases, data warehouses, and data lakes. Apply advanced SQL for schema design, indexing, query optimization, stored procedures, and data validation. Model AI/ML data needs for embeddings, vector stores, semantic search, metadata filtering, feature engineering, and RAG pipelines. Ensure data quality, lineage, governance, privacy, access control, and regulatory considerations while translating business and AI requirements into practical solutions.

Location: Noida, Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Create scalable enterprise data models across relational databases, data warehouses, data lakes, analytics platforms, and enterprise applications.
•Use advanced SQL to support schema design, joins, indexing, query optimization, stored procedures, data validation, and analytical querying.
•Develop data models that support AI/ML requirements such as embeddings, vector stores, semantic search, metadata filtering, feature engineering, and RAG pipelines.
•Work with structured, semi-structured, and unstructured data to support modeling needs.
•Apply data quality, lineage, governance, privacy, access control, and regulatory considerations in model design.

Key Requirements

•Strong experience in enterprise data modeling, database design, metadata management, and data architecture.
•Advanced SQL skills, including schema design, joins, indexing, query optimization, stored procedures, data validation, and analytical querying.
•Experience designing models for relational databases, data warehouses, data lakes, analytics platforms, and enterprise applications.
•Understanding of AI/ML data requirements, including embeddings, vector stores, semantic search, metadata filtering, feature engineering, and RAG pipelines.
•Knowledge of data quality, data lineage, data governance, privacy, access control, and regulatory considerations.

Tech Stack:SQLOpenSearchFAISSPineconePgvectorVector databasesGraph databasesOntologiesKnowledge graph technologiesAWSAzureGoogle CloudEmbeddingsVector storesSemantic searchMetadata filteringFeature engineeringRAG pipelinesLLM applicationsAI agents

Company Brief

NTT

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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NTT