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Consultant

5.00 to 10.00 Years   Hyderabad   06 Jul, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Microsoft Services India Global Delivery delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, MS IGD presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The ideal consultant issomeone who is passionate for technology, has the breadth rather than specific product depth, and has the drive and courage to articulate and stand up for a great solution delivering true value for the client.As a Microsoft Senior consultant, you will deliver quality engagements with your expertise, either as an advisor, reviewer or resource in high profile projects to ensure customer value. The ideal candidate must have the ability to combine their technical skills, creativity and customer focus in order to deliver great solutions to the customers and ensure they get the best out of our technologies and solutions. Person in this position should be able to focus on the developmentof customer business agility and business value, and deep experience with technologies.#ACAIIGDHiring#

  • Experience in enhancing Data Warehouse solutions using multiple database technologies
  • Experience in large database solutions, on premises, cloud, and hybrid implementations
  • Strong experience in database replication, performance, and security tuning
  • Working knowledge of specialized tools and solution providers whether they be Microsoft partners or competitors
  • Knowledge of full application life cycle design tools and methodologies
  • Strong, demonstrated consulting skills
  • Experience driving presales opportunities, leading customer workshops/briefings
  • Additionally, experience in any of the following will be considered favorably:
  • Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Sqoop
  • ETL technologies: Talend, Pentaho, Informatica, etc
  • Database Stack: Relational (Oracle, Teradata, Netteza, SAP HANA), columnar (RedShift,Vertica), OSS(Mysql, Postgres, Mariadb) noSQL (MongoDB, Redis, Cassandra - key-value stores, graph databases,RDF triple stores)
  • Languages: Java, Python, R, F#, C#
  • Analytical tools, languages, or libraries: SAS, SPSS)
  • Know-How in exploratory data analysis
  • Candidates must be fluent in English (spoken and written).
, Experience: 5 12 years The role requires deep knowledge in designing, planning, testing, and deploying data warehouse and reporting solutions including the following:
    • Strong Foundation in azure data services, Azure Machine learning Offerings
    • Experience in projects involving platform modernization to Azure Data services, ETL using Azure Data factory, developing with SQL Server, Implementing Analysis Services Data Models, Self-Service BI and Power BI
Education: Any engineering /MCA/MSC Comp Science. Any Masters degree would be preferred.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Keyskills :
customer focusdata servicesgraph databaseslife cycledata modelsmachine learningsource system analysishigh profile projectssql serverglobal delivery

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