Senior Data Modeler Job at NTT DATA (Gurgaon)

New

Senior Data Modeler

We are looking for an experienced Senior Data Modeler with 8+ years of experienc...

Location

India , Gurugram

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

Fulltime

New

Senior Data Modeler

We are currently seeking a Data Modeller to join our team in Gurugaon, Haryāna (...

Location

India , Gurugaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

Fulltime

New

Senior Data Modeler

We are looking for an experienced Senior Data Modeler with 8+ years of experienc...

Location

India , Gurgaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

New

Senior Data Modeler

We are looking for an experienced Senior Data Modeler with 8+ years of experienc...

Location

India , Gurgaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

New

Senior Data Modeler

We are looking for an experienced Senior Data Modeler with 8+ years of experienc...

Location

India , Gurugaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

Fulltime

Senior Data Modeler

We are looking for a Senior Data Modeler with strong experience in model-driven ...

Location

Netherlands , Utrecht

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Strong experience in conceptual, logical and physical data modelling
Hands-on expertise with SAP PowerDesigner
Experience using PowerDesigner MDDE plugin for model-driven development
Experience generating DDL and ETL artefacts from data models
Strong SQL skills for data analysis, profiling and validation
Experience with Git for version control of models and scripts
Familiarity with DevOps / CI-CD pipelines in data environments
Experience translating banking or regulatory reporting requirements into data models
Ability to work independently and collaborate with technical and business stakeholders

Job Responsibility

Design and maintain conceptual, logical and physical data models using SAP PowerDesigner
Use PowerDesigner MDDE (Model Driven Development Environment) to generate DDL and ETL artefacts from models
Translate complex banking and regulatory requirements into scalable and maintainable data models
Write and optimize SQL for data profiling, validation and quality checks
Manage model versioning and database scripts using Git
Integrate data modelling workflows into DevOps and CI/CD pipelines
Collaborate with data engineers, architects and reporting teams to ensure models align with data pipelines and reporting structures
Contribute to data quality, governance and model standards within the organization

Fulltime

Senior Data Modeler

We are seeking a visionary Senior Data Modeler to architect the backbone of our ...

Location

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline
2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management
Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling
Experience with automated metadata management and lineage tools
Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher
Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management
Understanding of how structured data feeds into Vector DBs and LLM contexts
Systems Thinking: Ability to see the "Big Picture" and how one change impacts the entire network
Acting as the bridge between the "Data Producers" (Engineers) and "Data Consumers" (Data Scientists)
Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems

Job Responsibility

Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes
Establish "Golden Records" within the Hub to ensure a single version of truth for master data (Customer, Product, Asset)
Standardize "Spoke" delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption
Design data structures for event-based, streaming integration patterns including structured and unstructured data
Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms
Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning
Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools
Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview)
Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership
Tag data with semantic descriptors to enable AI-driven "natural language to SQL" capabilities

What we offer

Coaching and mentoring programs
Development opportunities
Equal opportunity employer
IT Equipment
Work with iconic brands
Supportive team

Senior Data / Data Warehouse (DWH) Engineer

We are looking for a Senior Data / Data Warehouse Engineer to design and deliver...

Location

Czechia , Prague

Salary:

70000.00 - 80000.00 CZK / Year

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in data engineering and data warehouse development
Hands-on experience with ETL/ELT pipeline design and implementation
Proficiency in SQL and experience with PL/pgSQL stored procedures
Experience with DBT for data modeling and transformation
Experience building APIs or data access layers using FastAPI
Strong understanding of data modeling concepts for OLTP and OLAP systems
Experience implementing data quality checks, validation, and reconciliation processes
Familiarity with Agile methodologies and tools such as Jira
Strong communication skills and ability to collaborate with cross-functional and distributed teams

Job Responsibility

Own end-to-end data engineering and DWH delivery, from requirements and design to development, validation, and deployment
Design and maintain data models, data marts, and table structures for OLTP and OLAP reporting
Develop and maintain ETL/ELT pipelines and DBT-based transformation layers
Build automated data pipelines and FastAPI-based data access layers for application integration
Implement data validation, reconciliation, and quality checks using SQL
Optimize and maintain PL/pgSQL stored procedures for data processing
Collaborate with cross-functional and distributed teams to ensure timely and high-quality delivery
Work in an Agile environment using Jira and support demos or user training when needed

Fulltime

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