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Data Engineer

Job ID : 36363

Job Title : Data Engineer

Location : College Park, GA

Comapny Name : Emblue

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $25000 - $35000  per year

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 03-11-2024

Required Skills : Data pipelines, Scripting, SQL

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Responsiblties:

  • Design, development, sustainment, and deployment of complex Government data engineering solutions.
  • Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
  • Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Utilize machine learning tools to select features, create, and optimize classifiers.
  • Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
  • Perform development lifecycle aspects that includes requirements documentation, design documentation, configuration management, testing, implementation plans, etc.
  • Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
  • Coordinate with different multidisciplinary teams to imlement models and monitor outcomes.
  • Define & develop processes and tools to monitor and analyze model performance and data accuracy.
  • Define & develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.

Key Skills:

  • Machine learning.
  • Programming.
  • Data warehouse.
  • Computing.
  • Databases.
  • Data pipelines.
  • Scripting..
  • SQL

Company Details :

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