Senior Python Developer PySpark and AWS

The project involves the data engineering organization’s Analytical Work Bench , which is an integrated development environment. The objective is to rationalize and integrate AWB with another internally developed application. Additionally, the project includes creating an IDE based on the Jupyter Lab environment using custom code developed by Client.

• - Integrate large datasets into the research ecosystem via the resource platform.

• A university degree in Engineering or Computer Science is preferred.
  
  Hard skills:
• 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.
  
  Soft skills:
• Excellent communication skills demonstrated through collaboration with end users to gather and discuss complex business requirements effectively.

• UI development with React:
  Familiarity with building user interfaces using React is advantageous.
• Jupiter Lab:
  Experience working with Jupiter Lab is a beneficial asset.
• Data Engineering and/or Data Science experience:
  Having skills or experience in data engineering or data science is a plus.