Description

Responsibilities

• Integrate large datasets into the research ecosystem via the resource platform
• Rationalize and integrate the Analytical Work Bench with internally developed applications
• Contribute to the development of a Jupyter Lab–based integrated development environment

Qualifications

• Required
  • Proven experience working with cloud-based technologies, specifically AWS
  • Solid expertise in Big Data solutions utilizing AWS EMR
  • Advanced proficiency in Python Core and PySpark, with over 8 years of hands-on experience
  • Practical knowledge of Pylint and Pytest for code quality and testing, with at least two years of experience
  • Extensive experience with package management and automation tools such as PyPI and Gulp for over five years
  • Familiarity with continuous integration and continuous delivery pipelines using Jenkins and Urban Code, with more than two years of experience
  • Excellent communication skills, with demonstrated ability to collaborate with end users to gather and discuss complex business requirements
• Preferred
  • University degree in Engineering or Computer Science
  • UI development with React
  • Experience working with Jupyter Lab
  • Data Engineering and/or Data Science experience

Key Skills

Education

Bachelor's degree