Kaygen Inc
Irvine, CA
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Job Description :

Job Title: Data Engineer       

Location: Chicago, Illinois

Duration: 12 Months

Job Description:

  • queries and ingestion of data, and building scalable infrastructure to support data mining, visualization, automated insights, and machine learning efforts. You thrive in a multi-disciplinary team environment and are astute at identifying areas where data engineering can make a difference, thus developing data architectures and systems that enable our scientists to solve key problems in the drug discovery and development process.

Responsibilities:

  • Work with project leads, users and SMEs to design and build cloud-based data platforms to facilitate the identification of novel targets, ligases and therapeutic compounds
  • Design and build an ETL infrastructure, project-specific data pipelines, and validation tools to load public and proprietary data from multiple sources using Python, R, Java, SQL and AWS cloud technologies
  • Collaborate with Data Science team provide users with data, visualizations, reports and automated insights needed to do their jobs more effectively
    Collaborate with Data Science team to deliver integrated data to machine learning pipelines
  • Use best practices for code development, optimization, and unit testing


Qualifications:

  • BS in Computer Science, Information Architecture, Mathematics, or similar field with a MS preferred
  • 5+ years of data engineering experience, 3+ years of experience building and operating scalable data pipelines
  • Advanced programming skills, including object-oriented programming; Proficient with Python; willingness to learn other languages as needed
  • Expert level proficiency in data modeling, SQL query solution design and coding, query optimization and performance tuning
             

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