Python Developer (ID: 3473)

As a Python Developer, you will:

• Work in an agile, startup -style environment, contributing actively to iterative development cycles
  
• Design, develop, and maintain Python -based software solutions, with a strong focus on algorithm development
  
• Create and maintain algorithms within the electricity sector ecosystem
  
• Contribute to continuous delivery pipelines using tools such as Jenkins, Argo CD, Azure DevOps, and GitHub Actions
  
• Ensure high -quality, up -to -date technical documentation
  
• Actively contribute to preventing and reducing technical debt
  
• Collaborate closely with cross -functional teams in an open -source–driven engineering environment
  

What You Bring to the Table:

• 8–10 years of overall experience in software development with strong expertise in Python
  
• More than 3 years of hands -on Python software development experience
  
• Proven experience with unit testing in Python
  
• Demonstrable engineering experience in open -source environments
  
• Strong exposure to technologies such as Kafka, Hadoop ecosystem (HDFS, Hive, Impala), Git, Jenkins, Docker, and Kubernetes
  
• Experience working with CI/CD tools including Jenkins, Azure DevOps, and GitHub Actions
  
• Experience creating algorithms for the electricity sector (mandatory)
  
• Familiarity with JIRA for agile project tracking
  

You Should Possess the Ability to:

• Design and implement efficient, scalable Python algorithms for energy -related use cases
  
• Write clean, testable, and maintainable Python code
  
• Contribute effectively to CI/CD and DevOps practices
  
• Identify and mitigate technical debt proactively
  
• Work effectively in agile, fast -paced development environments
  
• Collaborate with distributed teams using clear and professional communication
  

What We Bring to the Table:

• Opportunity to work on algorithm -driven solutions in the electricity sector
  
• Exposure to modern open -source and big data technologies
  
• A collaborative, agile development environment
  
• The chance to apply deep Python expertise in a high -impact, time -bound project