Job Details

ID #19956378
State Missouri
City Saintlouis
Job type Contract
Salary USD Depends on Experience Depends on Experience
Source Denken Solutions
Showed 2021-09-20
Date 2021-09-20
Deadline 2021-11-18
Category Et cetera
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Data Engineer

Missouri, Saintlouis, 63101 Saintlouis USA

Vacancy expired!

Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at

949-234-6819.

Title: Data Engineer

Location: St.Louis, MO

Duration: 18 Months

Job Description:
  • The primary duties of this Data Engineer will be to build and deploy data pipelines that support of business analytics and reporting systems. The person in this role will be responsible for information modeling and programming to clean, prepare, and optimize structured and un-structured data for consumption by business analytics teams and data scientists.
  • The ideal candidate would have experience using ETL and other data engineering tools in a cloud environment such as Azure Databricks and Azure Data Factory. The ideal candidate would have coding and scripting experience creating code to move and manipulate data using tools such in Python such as Spark or Pandas.

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.

Vacancy expired!

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