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Data Modeler

3 months ago

New Delhi, India PureSoftware Ltd Full time

Required

  • 12 - 15 years of experience with at least 5+ years of experience in data modeling.
  • Experience in data modeling for complex, large-scale & global data driven implementations.
  • Strong experience in data modeling activities supporting time series, data warehousing & data transformations.
  • Ability to create and maintain conceptual, logical, and physical data models.
  • Ability to comprehend complex data consumption requirements and define semantic models to support them.
  • Ability to understand business & associated data landscape and identify data domains aligned to business capabilities.
  • Ability to collaborate with cross-functional teams to gather and analyse data requirements.
  • Exposure to / understanding of modern data management approaches e.g. data mesh, data on cloud technologies e.g. Snowflake, RDS & data processing platforms e.g. Starburst.
  • Proficiency in any data modeling tool preferably Erwin.
  • Ability to distil complexity, strong analytical and problem-solving skills.
  • Ability to get into the details of query performance issues and address them through efficient database design & data modeling.
  • Excellent communication and documentation skills.
  • Knowledge of industry best practices for data modeling and database design.
  • Experience in Finance domain would be an added advantage.


Roles & Responsibilities


  • As a data modeler you will play a key role in designing and implementing data models that support our organization's data-driven capabilities.
  • You will work closely with product teams, data engineering teams, architecture and business stakeholders to understand their data requirements and translate them into conceptual, logical and physical data models.
  • You will also be responsible for ensuring the accuracy, completeness, and consistency of our data models, as well as maintaining relevant documentation.
  • You will help identifying and capturing metadata associated with various data entities.
  • Your expertise in data modeling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.
  • You will define data modeling standards and guidelines as well help teams adopt the same.