EY-GDS Consulting-AI And DATA-Data Modeller-Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS – Data and Analytics (D And A) – Data Modeller - Manager

We’re looking for candidates with strong technology and data understanding in 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 modeling and design standards, tools, best practices, and related development methodologies.
• Designs, reviews and maintains data models
• Performs the data analysis activities to capture data requirements and represent them in data models visualization
• Manages the life cycle of the data model from requirements to design to implementation to maintenance
• Work closely with the 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 8 - 11
• Data modelling (relevant Knowledge) – 8 years and above
• Experience in data modeling data 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 Datawarehouse knowledge
• Optional Visualisation skills
• Knowledge in DQ and data profiling techniques and tools
  
  

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 8 - 11 years of industry experience
• Have working experience in an Agile base delivery methodology (Preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Strong analytical skills and enjoys solving complex technical problems
• Proficiency in Software Development Best Practices
• Excellent debugging and optimization skills
• Experience in Enterprise grade solution implementations & in 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 solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
• Client management skills
  
  

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