EY
EY - GDS Consulting - AI And DATA - Data Modeller -Senior
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
8 September 2026
What they need
Job Summary
Job Title: EY- GDS Consulting - AI and Data - Data Modeler Senior
We're looking for candidates with strong technology and data understanding in the data modelling space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.
Your key responsibilities
- Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data
- Define and employ data modelling and design standards, tools, best practices, and related development methodologies
- Design, review and maintain data models
- Perform data analysis activities to capture data requirements and represent them in data model visualizations
- Manage the life cycle of the data model from requirements to design to implementation to maintenance
- Work closely with data engineers to create optimal physical data models
- Identify areas where data can be used to improve business activities
Skills and attributes for success
- 810 years of relevant experience
- 5+ years of hands-on data modelling experience
- Experience with data modeling tools such as Erwin Data Modeler, ER Studio, Toad
- Strong knowledge of SQL
- Basic ETL knowledge including data mapping and transformation
- Good data warehouse knowledge
- Optional data visualization skills
- Knowledge of data quality and data profiling techniques
To qualify for the role, you must have
- Computer science graduate or equivalent
- Experience working in Agile delivery environments
- Strong analytical and problem-solving skills
- Proficiency in software development best practices
- Excellent debugging and optimization skills
- Experience with enterprise-grade solution implementations
- Ability to convert business problems into scalable technical solutions
- Excellent written and verbal communication skills
- Experience across the full solution delivery lifecycle
- Client management skills
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