EY EY - GDS Consulting AI DATA Data Modeller Manager 

India, Kerala, Kochi 

581480636

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 models visualization
• 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 of datasets
• Identify areas where data can be used to improve business activities

Skills and attributes for success

• Experience: 3 to 8 years
• Data modelling (relevant knowledge): Minimum 3 years
• Experience in data modeling tools including but not limited to Erwin Data Modeler, ER Studio, Toad, etc.
• Strong knowledge in SQL
• Basic ETL skills to ensure implementation meets the documented specifications for ETL processes including data translation/mapping and transformation
• Good data warehouse knowledge
• Optional visualization skills
• Knowledge in data quality (DQ) and data profiling techniques and tools

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3 to 8 years of industry experience
• Have working experience in an Agile-based delivery methodology (preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Strong analytical skills and enjoy solving complex technical problems
• Proficiency in software development best practices
• Excellent debugging and optimization skills
• Experience in enterprise-grade solution implementations and converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
• Excellent communicator (written and verbal, formal and informal)
• Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Client management skills