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Hybrid Data Engineer Real-time Pipelines & Ml-ready Data

Cornerstone OnDemand Charlotte, North Carolina, US

About the Role

A leading technology firm is seeking a Data Engineer to work in a hybrid capacity, responsible for designing and maintaining data pipelines, automating workflows, and collaborating with data scientists to deploy machine learning models. The ideal candidate has over 3 years of SQL experience, strong skills in Python and other object-oriented languages, and is familiar with cloud solutions like AWS and Azure. This role emphasizes teamwork, problem-solving, and a commitment to data quality. #J-18808-Ljbffr

Responsibilities

  • Design and maintain data pipelines
  • Collaborate with data scientists to deploy ML models
  • Automate workflows

Qualifications

  • 3+ years SQL
  • Python and OO languages
  • Cloud: AWS, Azure

Required Skills

SQL Python ETL data quality Cloud

Keywords

data engineer real-time pipelines ml-ready data hybrid cloud

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