EY - GDS Consulting - AI And DATA - Data Modelling- Senior at EY

Bidhannagar, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, SQL, ETL, Data Warehouse, Data Analysis, Data Visualization, Agile Methodology, Problem Resolution, Analytical Skills, Software Development Best Practices, Debugging, Optimization, Client Management, Data Quality, Data Profiling, Communication

Industry

Professional Services

Description

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 – Data Modeller Senior 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 3 - 7 Data modelling (relevant Knowledge) – 3 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 3 - 7 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 EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves employing tools and techniques to analyze data collection, storage, and exchange. It also includes designing and maintaining data models and managing their life cycle from requirements to implementation.