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EY GDS – Data and Analytics (D&A) – 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
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