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9881a123faa4c241b73bedfc89781524

Business Intelligence Data Engineer

Iris Consulting Corporation Minneapolis, MN, MN Contractor
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Contract Length: 5 Months+
Location: Remote thru early Sept, then Plymouth, MN office

TOP SKILLS
Microsoft Azure for Data and Analytics solutions
Integration API’s (.net framework)
Expertise in programming languages like Scala, Java, C#
Will be part of Scrum Team so good communications skills are a must Business Intelligence area of focus
Marketing view


QUALIFICATIONS:

  1. Bachelor’s degree in computer science, management information systems, or related, or equivalent experience
  2. Experience using Microsoft Azure for Data and Analytics solutions (Data Lake Store, Blob, SQL, Functions, Data Factory, Data Lake Analytics/USQL, Stream Analytics, Machine Learning) 2+ years
  3. Expertise in programming languages like Scala, Java, C# 1+ Years
  4. Expertise in scripting languages like Python, R 1+ Years
  5. Web Application security, SSL OAuth Familiarity Desirable
  6. Experience architecting and building big data pipelines using Spark, Map Reduce Desirable
  7. Overall Data Engineering experience 3+ year
  8. Preferred experience with Streaming Analytics, No Sql database (Cosmos preferred), Data Warehousing & Reporting


  POSITION SUMMARY:  
Data & Analytics team works with business leaders across the enterprise to drive optimized strategy using data. 
This position contributes to client success by building cloud-based data services for analytic solutions. You will build data pipelines that are scalable, repeatable, secure and adhere to data quality standards. Responsibilities also include evangelizing data on cloud solutions with customers, leading business and IT stakeholders through designing a robust, secure and optimized Azure architecture, and delivering the target solution. This role will involve working with customers and collaborating with internal engineering teams, development of new application functionality, as well as maintenance and support of source code for existing Azure data platforms using the Azure data services
  

RESPONSIBILITIES:

  1. Translate business requirements into technical requirements to ensure solutions meet business needs
  2. Analyze, design, build, query, troubleshoot and maintain Azure services
  3. Design and develop Azure Databricks, Snowflake solutions using Spark
  4. Integrate API (Services) to the data management platform
  5. Ability to gather requirements, design and execute a solution end to end

Recommended skills

Azure
Scala
Snowflake
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Job ID: dk136

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