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Data Modeler

Three Across

2 - 5 years

Pune City

Posted: 30/04/2026

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Job Description

Role: Data Modeler

Location: Pune

Work Mode: Hybrid


Overview:

We are looking to connect with experienced Data Modelers who can design and govern high-quality, scalable data structures that power enterprise Data Products.

This role is central to translating complex business and regulatory requirements into clear, reusable, and well-governed data models, enabling analytics, reporting, and downstream consumption at scale.


Key Responsibilities:

  • Design and maintain conceptual, logical, and physical data models across business domains
  • Translate business requirements into data entities, attributes, and relationships
  • Develop and maintain data dictionaries, mappings, and lineage artefacts
  • Ensure models are scalable, reusable, and aligned with governance standards
  • Apply modelling techniques such as normalization, dimensional modelling, and history tracking
  • Collaborate with engineering, architecture, and business teams to ensure build-ready designs


What were looking for:

  • Strong experience in data modelling across complex enterprise environments
  • Proven track record supporting Data Products, analytics platforms, or data initiatives
  • Solid understanding of relational data design, joins, cardinality, and data integrity
  • Hands-on experience with databases such as Oracle, DB2, SQL Server
  • Strong data analysis and profiling skills
  • Ability to communicate complex data concepts to both technical and non-technical stakeholders


Good to have:

  • Experience in regulated environments (risk, compliance, finance)
  • Exposure to data warehousing, cloud platforms, or modern data architectures
  • Familiarity with data governance, data quality, and privacy frameworks
  • Experience working in Agile/SDLC environments (JIRA, Confluence)


This is an opportunity to play a key role in building trusted, governed, and scalable data foundations for enterprise-wide data transformation.



Behind every powerful data insight lies a well-designed model; are we just structuring data, or defining how organizations understand their world?

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