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 , 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

Data Scientist / Senior Data Scientist

Seeking multiple experienced Data Scientists & Senior Data Scientists with exper...

Location

Australia , Melbourne

Salary:

140000.00 - 229000.00 AUD / Year

Randstad

Expiration Date

July 03, 2026

Requirements

Deep, hands on experience in Data & AI Science
Experience utilising ML models to support complex, high impact solutions
Experience with AI coding tools
Python Experience
Ability to present to and engage with a range of senior stakeholders
Provide a deeper contribution to solution design and architecture
Ability to be a thought leader in your team

Job Responsibility

Contribute to the design, build and deployment of agentic solutions across a range of projects that support the broader organisation and their customers

Fulltime

!

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

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
Strong applied statistics skills for: Risk modeling
Predictive analytics
Pricing & underwriting analytics
Catastrophe exposure analysis
Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
Time-series forecasting
Gradient boosting, random forests, and other tree-based models, neural networks models

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...

Location

United States , Southlake, TX or Austin, TX

Salary:

55.92 - 62.13 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
Proficiency in Python and SQL for data processing and automation
Extensive experience with ETL processes and data pipeline design
Excellent problem-solving skills and meticulous attention to detail
Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks

Job Responsibility

Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
Implement and uphold best practices for data quality, data governance, and data security
Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

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