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Azure

  • San Francisco, CA, United States

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Job details

Experience
1. 2 year of hands on experience in doing development on one or more of the following technology ecosystem
Posting language
English
Posted

Original job description

Company Description Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Qualifications

  1. 2 year of hands on experience in doing development on one or more of the following technology ecosystem a) Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory, PowerBI, b) Microsoft SQL Server Ecosystem – Multidimensional cubes, MDX, T-SQL c) Hadoop Ecosystem – HDFS, Spark, MapReduce, Pig, Hive
  2. Experience building Data warehouses using SQL Server 2012/2016
  3. Working experience on .Net/SQL with abilities to ramp up on USQL (programming language for Azure)
  • Strong technical background with knowledge of BI foundational concepts such as relational database, datawarehouse, data mart.
  • Knowledge of design and architectural best practices in BI
  • Passionate about delivering quality
  • Intellectually curious, reliable and flexible team player
  • Willingness to work in global delivery environment
  • Willingness to work with diverse environment Additional Information ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.

Note:- 1.This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen Green Card Holder GC-EAD,& TN can apply. 3.No H4-EAD L2-EAD OPT-EAD, H1B candidates please. 4.Please mention your Visa Status in your email or resume.

More about this job

Skills

  • Google Analytics
  • Microsoft Azure
  • Microsoft Azure Data Factory
  • Microsoft Power BI
  • Microsoft SQL Server
  • MDX
  • SQL
  • Apache Hadoop
  • Apache Spark
  • Apache Pig
  • Apache Hive
  • SQL Server
  • .NET

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