Jobs · Information Technology · Michigan

Data Engineering Engineer 3//Dearborn, MI//W2

Saanvi Technologies · Dearborn, MI · 3 mo ago
Information TechnologyFull-time

Key Responsibilities

  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required

  • GitHub
  • Google Cloud Platform
  • Big Query
  • Python
  • Machine Learning

Skills Preferred

  • ALGORITHMS
  • TensorFlow
  • Scikit-learn
  • Relational Databases
  • Data Model Experience

Education Required

Engineer 3 Exp: 5+ years Data Engineering work experience

Education Preferred

Master's Degree

Additional Safety Training/Licensing/Personal Protection Requirements

Additional Information

  • 4 days onsite in Rotunda Court.
  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

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