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Consultant-Data Modelling

  • Full Time
  • Hybrid - Bengaluru
  • 6 months
  • Project posted on: 1/04/2026
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Consultant-Data Modelling

  • Data and Analytics
  • Data Science
  • Business Intelligence

Hybrid - Bengaluru

Full Time

6 months

 1/04/2026

Assignment Details

Key Responsibilities

 

Data Modelling & Architecture

  • Design and develop conceptual, logical and physical data models.
  • Build enterprise semantic models supporting analytics and AI/ML.
  • Ensure alignment with data governance, metadata and architecture standards.

Program Coordination & Delivery Support 

  • Support the planning, coordination and tracking of data modelling activities across multiple squads and projects.
  • Ensure modelling deliverables align with program timelines, dependencies and business priorities.
  • Help organize reviews, checkpoints and model governance sessions with technical teams and process owners.
  • Maintain structured documentation to ensure transparency and traceability of modelling decisions.

Cross‑Domain Stakeholder Engagement 

  • Work closely with stakeholders across Procurement, Planning, Manufacturing, Logistics and CDMX domains to capture requirements, align data definitions and validate models.
  • Act as a connector between Business SMEs, Data engineers, Data architects and GSC D&A Analytics partner, BI & AI teams to ensure seamless understanding and adoption of data models.
  • Facilitate discussions to harmonize business rules, KPIs and master data standards across the global supply chain.

Tool Leadership & Best Practices

  • Lead usage and standardization of modelling tools such as Erwin, ER/Studio, Power Designer, etc.
  • Establish templates, modelling guidelines, metadata standards and lineage tracking.

Data Quality & Optimization

  • Ensure that modelling outputs drive high data quality, consistency and optimal performance.
  • Collaborate with governance and engineering teams to implement validation logic and quality rules.

Skills Required

Qualifications & Experience

  1. The ideal candidate should have 5 to 10+ years of hands‑on data modelling experience.
  2. Strong foundation in Kimbal Dimensional modelling ,Relational modelling ,Data Vault 2.0 is essential
  3. Proficiency in enterprise modelling tools (like Erwin, ER/Studio, Power Designer etc ).
  4. Experience with SQL, ETL/ELT, cloud data platforms AWS,databricks and semantic layers are added advantage.
  5. Structured, detail-oriented, with strong problem-solving mindset.
  6. Clear communicator able to simplify complex technical concepts.
  7. Demonstrated ability to work in global, matrixed organizations.

About the Client

A leading global specialist in energy management and automation

Industry

IT Services & Consulting

Experience Required:

5+ years

Additional Skills:

  • Deep learning
  • ETL
  • Data Modelling
  • Databricks
  • Data mining
  • ER studio
  • Erwin
  • AI/ML
  • Data Engineering
  • AWS SageMaker

No of open positions:

1

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