Below is the job description:
Data Engineer
Work Location: St. Louis, MO, 63102 - Remote
Duration: 24 Months (This term could be extended based on company business needs)
Project Start: ASAP
Client: Food and Beverage
Technical Skills
The following is a list of specific skill and technologies that are required or highly desired for this position:
* Proficient with Microsoft Azure toolsets including Azure Data Factory Pipelines, Azure Databricks, Azure Data Lake Storage.
* Solid understanding of Agile and DevOps principles for software development and ownership. Experience with Microsoft Azure DevOps (formerly Visual Studio Team Services) including the use and configuration of automated builds and deployments.
* Familiar with compliance and controls for software development and deployment
* Proficient with query languages such as SQL, MDX and DAX
* Proficient with code languages such as Java, R, Python or C#
* Proficient with scripting languages such as PowerShell, M-Query (Power Query), and Windows batch commands.
Education Required
A bachelor's in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience] is not required but is preferred.
At least 3 years or more of work experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering or business analytics development.
Microsoft Sql Servers
Java (Programming Language)
.Net Framework
Vbscript (Visual Basic Scripting Edition)
C Sharp (Programming Language)
Data Engineer
Work Location: St. Louis, MO, 63102 - Remote
Duration: 24 Months (This term could be extended based on company business needs)
Project Start: ASAP
Client: Food and Beverage
Technical Skills
The following is a list of specific skill and technologies that are required or highly desired for this position:
* Proficient with Microsoft Azure toolsets including Azure Data Factory Pipelines, Azure Databricks, Azure Data Lake Storage.
* Solid understanding of Agile and DevOps principles for software development and ownership. Experience with Microsoft Azure DevOps (formerly Visual Studio Team Services) including the use and configuration of automated builds and deployments.
* Familiar with compliance and controls for software development and deployment
* Proficient with query languages such as SQL, MDX and DAX
* Proficient with code languages such as Java, R, Python or C#
* Proficient with scripting languages such as PowerShell, M-Query (Power Query), and Windows batch commands.
Education Required
A bachelor's in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience] is not required but is preferred.
At least 3 years or more of work experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering or business analytics development.
Recommended Skills
Sql (Programming Language)Microsoft Sql Servers
Java (Programming Language)
.Net Framework
Vbscript (Visual Basic Scripting Edition)
C Sharp (Programming Language)