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Data and Analytics Managing Consultant

1.00 to 5.00 Years   Bangalore   04 Mar, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software,Sales / BD
EmploymentTypeFull-time

Job Description

Req ID:114395 NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Data and Analytics Managing Consultant to join our team in Bangalore, Karn taka (IN-KA), India (IN).

    • Diverse Data Engineering activities on Azure Data platform.
    • Build & Deliver Data pipeline connecting various enterprise data sources both RDBMS, NoSQL & APIs. Develop data mappings to existing data sources.
    • Lead the data identification, data analysis efforts for data sources and work directly with data owner teams
    • Develop data requirements for new data sources.
    • Define new business data models.
    • Design and development of data extraction, data ingestion, data quality rules implementation
    • Scripting using programming language
    • Clean and process the data for Machine Learning consumption.
    • Provide Business Intelligence (PowerBI) and Data Warehousing (DW) solutions and support by leveraging project standards and leading analytics platforms
    • Evaluate and define functional requirements for BI and DW solutions
    • Design and development of data extraction, data ingestion, data quality rules implementation
    • Involvement in architecture and design of data
    • #LI-INAPAC
About NTT DATA ServicesNTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100. NTT DATA Services is an equal opportunity employer and will consider all qualified applicants for employment without regard to race, gender, disability, age, veteran-status, sexual orientation, gender identity, or any other class protected by law.Job Segment: Analytics, Database, Consulting, Data Warehouse, Business Intelligence, Management, Technology ,

Keyskills :
it servicesdata qualitynew businessdata analysisdata servicesdata extractionenterprise datadata warehousingmachine learningbusiness processdata engineering

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