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Data Modeler

Data Modeler

Net2Source (N2S)Kuala Lumpur, Kuala Lumpur, Malaysia
1 day ago
Job description

Overview

I truly believe that every connection matters.

Direct message the job poster from Net2Source (N2S).

Responsibilities

  • Collaborate closely with Data Analysts and Data Engineers to analyse the data template and data sample developed by data analyst, and refine data requirements
  • Design conceptual, logical, and physical data models that align with project objectives and the organization’s data architecture standards
  • Maintain metadata documentation including data dictionaries, transformation mappings, and business definitions using tools such as Data Hub or similar platforms
  • Ensure that data models support data governance, privacy, and anonymization requirements
  • Translate business rules into source-to-target mapping for integration with ETL / ELT processes
  • Work within Agile / Scrum frameworks, participating in sprint planning, backlog grooming, daily stand-ups, and sprint reviews
  • Utilize Azure DevOps (ADO) to manage tasks, track progress, and collaborate with the project team
  • Engage in stakeholder management by facilitating workshops, presenting model designs, and addressing feedback in a clear, concise manner
  • Support testing and validation of models in collaboration with Data Engineers and Analysts

Required Technical Skill Set

  • Proven experience as a Data Modeler or related role in large-scale data projects.
  • Strong knowledge of data modelling techniques (ERD, dimensional modelling, star / snowflake schema).
  • Proficient in metadata documentation and data governance practices.
  • Familiarity with Azure cloud data ecosystem (e.g., ADLS, ADF, Databricks).
  • Experience working with Azure DevOps (ADO) in Agile / Scrum environments.
  • Excellent skills in SQL for data analysis and model validation.
  • Strong stakeholder management and communication skills, with the ability to translate technical concepts into business terms.
  • Ability to work under tight deadlines while maintaining high quality standards.
  • Must-Have

  • Experience with Data Hub, Collibra, or Alation for metadata and lineage management.
  • Exposure to data lakehouse and Delta Lake architecture.
  • Knowledge of ETL / ELT processes and working closely with engineering teams.
  • Understanding of BI tools (e.g., Power BI, Tableau) for model consumption.
  • Seniority level

    Mid-Senior level

    Employment type

    Contract

    Job function

    Information Technology

    Industries

    Software Development, IT Services and IT Consulting, and Data Infrastructure and Analytics

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