Data Modeler

Posted:
12/4/2024, 3:20:55 PM

Location(s):
Madhya Pradesh, India ⋅ Indore, Madhya Pradesh, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Project Role : Data Modeler
Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
Must have skills : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : Minimum 15 years of full time education

Summary: As a Data Modeler, you will be responsible for working with key business representatives, data owners, end users, application designers, and data architects to model current and new data. Your typical day will involve utilizing your expertise in data modeling techniques and methodologies to design and implement effective data models. Roles & Responsibilities: - Design and implement effective data models using data modeling techniques and methodologies. - Collaborate with key business representatives, data owners, end users, application designers, and data architects to model current and new data. - Ensure data models are optimized for performance, scalability, and maintainability. - Develop and maintain data dictionaries, data flow diagrams, and other documentation related to data modeling. - Stay up-to-date with the latest trends and best practices in data modeling and database design. Professional & Technical Skills: - Must To Have Skills: Expertise in data modeling techniques and methodologies. - Good To Have Skills: Experience with database design and development, SQL, and data warehousing. - Strong understanding of data modeling concepts such as normalization, denormalization, and dimensional modeling. - Experience with data modeling tools such as ERwin, ER/Studio, or PowerDesigner. - Experience with data modeling for both transactional and analytical systems. - Solid grasp of database design and development concepts such as indexing, partitioning, and query optimization. Additional Information: - The candidate should have a minimum of 5 years of experience in data modeling techniques and methodologies. - The ideal candidate will possess a strong educational background in computer science, information systems, or a related field, along with a proven track record of delivering effective data models. - This position is based at our Bengaluru office.

Minimum 15 years of full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com 

Equal Employment Opportunity Statement


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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing