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Microsoft master data services

7.00 to 12.00 Years   Bangalore, Hyderabad, Pune   25 Nov, 2021
Job LocationBangalore, Hyderabad, Pune
EducationNot Mentioned
SalaryRs 20 - 30 Lakh/Yr
IndustryIT - Software
Functional AreaApplication Programming / Maintenance,IT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

MS MDMDescriptionMust

  • Have strong experience with SSIS/ETL development, Testing and Deployment
  • Have strong hands-on experience withMicrosoft SSIS ETL packagecreation, and PL SQL Development.
  • Be strong in analysing and writing SQL/PL-SQL Query.
  • Have strong hands-on experience with implementingMicrosoftMDS(Master Data Services)-Entity Creation, Views, Creation, Subscription Views, Services, Deployment and configuration.
  • Must have understanding of design and documentation of ETL, Data Mapping, Data Dictionary and Deployment Techniques
  • Have understanding of different type of Data Modelling(Star schema, Snowflake Schema) techniques and its real time application and implementation.
Good to have
  • Understanding of Azure Data Factory,Azure Data Catalogue,Data Governance.
  • Ability to oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
  • Ability to identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads.
  • Experience of modeling, design, configuration, installation, performance tuning
  • Strong communication skills
MS MDMDescriptionMust
  • Have strong experience with SSIS/ETL development, Testing and Deployment
  • Have strong hands-on experience withMicrosoft SSIS ETL packagecreation, and PL SQL Development.
  • Be strong in analysing and writing SQL/PL-SQL Query.
  • Have strong hands-on experience with implementingMicrosoftMDS(Master Data Services)-Entity Creation, Views, Creation, Subscription Views, Services, Deployment and configuration.
  • Must have understanding of design and documentation of ETL, Data Mapping, Data Dictionary and Deployment Techniques
  • Have understanding of different type of Data Modelling(Star schema, Snowflake Schema) techniques and its real time application and implementation.
Good to have
  • Understanding of Azure Data Factory,Azure Data Catalogue,Data Governance.
  • Ability to oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
  • Ability to identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads.
  • Experience of modeling, design, configuration, installation, performance tuning
  • Strong communication skills

Keyskills :
testingcatalogueschemacommunication skillsdesignssiswritingsqlperformance tuningoptimization strategiesetlazurecommercial modelsplsqlstrong communication skillsdeploymentsnowflakedata dictionarydata mappingdata architecture

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