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EY EY - GDS Consulting AI DATA Data Modeller- Manager 
India, Tamil Nadu, Chennai 
725996843

08.07.2024

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 9 to 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 9 to 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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