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Data Modeling Techniques and Methodologies

12.00 to 15.00 Years   Pune   12 Apr, 2021
Accenture
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing,General / Other Software
EmploymentTypeFull-time

Job Description

About Accenture: Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries powered by the world s largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com

  • Project Role :Digital Data Engineering Practitioner
  • Project Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
  • Management Level :7
  • Work Experience :12-15 years
  • Work location :Pune
  • Must Have Skills : Data Modeling Techniques and Methodologies
  • Good To Have Skills : Google BigQuery
  • Job Requirements :
      • Key Responsibilities : a: Candidate should be able to work independently on Google Cloud transformation; handle client communication and act as a team player with minimal guidance b: Candidate should be able to think out of the box and have innovative and automation led mindset in his daily work c: Implement business and IT data requirements through new data strategies and designs across Google Cloud Platform using tools like BigQuery
      • Technical Experience : a: Candidate should be experienced in EDW, Data Modelling and BigQuery b: Good to have Google Cloud / Cloud and knowledge in Telecom Domain c: Should know how to define and govern data modeling and design standards, tools, best practices, and related development for enterprise data model d: Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required e: Good knowledge of metadata management, data modeling, and related tools
      • Professional Attributes: a: Should have Good communication skills, analytical and presentation skills, ability to work under pressure, etc
      • Educational Qualification: a: Bachelor / masters in computers
    • Additional Information: NA
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Keyskills :
google cloud platformbig datadata modelingdata strategiesenterprise datadata engineeringcommercial modelspresentation skillsmetadata managementedwlakecloudvisitdesignbusiness

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