Data Modeler
2 weeks ago
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.
Experience & Skills
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.
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