Python Developer

Key Responsibilities:

• Develop and optimize data processing pipelines for large-scale datasets.
  
• Design, implement, and maintain scalable applications using Python .
  
• Collaborate with data scientists and analysts to integrate machine learning models and algorithms into production systems.
  
• Build and deploy RESTful APIs or micro services to support data-driven applications.
  
• Perform data wrangling, cleaning, and transformation to enable actionable insights.
  
• Write clean, modular, and maintainable code with an emphasis on performance.
  
• Ensure application security and scalability across diverse data processing workflows.
  
• Stay current with emerging technologies in data processing, AI, and data science.
  
  
  

  
  

  Requirements:
  

  Technical Skills:
  

  • 2-3 years of experience as a Python Developer .
    
  • Strong proficiency in Python 3.x and understanding of its libraries and frameworks such as Flask , Django , or FastAPI .
    
  • Proficiency in Python 3.x and libraries like Pandas , NumPy , and Dask .
    
  • Experience with data manipulation and processing frameworks (e.g., PySpark, Apache Beam ).
    
  • Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB ).
    
  • Familiarity with ETL processes and tools such as Airflow or Luigi .
    
  • Experience with message brokers (e.g., RabbitMQ, Kafka ) for real-time data processing.
    
  • Experience with data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly ) is a plus.
    
  • Knowledge of ORM libraries like SQLAlchemy or Django ORM .
    
  • Familiarity with containerization tools like Docker .
    
  • Basic understanding of front-end technologies (e.g., HTML, CSS, JavaScript ) for integration purposes.
    
  • Experience with testing frameworks like PyTest, UnitTest, or similar.
    

    Soft Skills:
    

    • Excellent problem-solving and analytical skills.
      
    • Strong communication and collaboration abilities.
      
    • Ability to work in an agile environment and handle multiple tasks effectively.
      
    • Eagerness to learn and adapt to new tools and technologies.
      

      Preferred Qualifications (Nice-to-Have):
      

      • Basic understanding of machine learning concepts and frameworks like Scikit-learn, TensorFlow, or PyTorch .
        
      • Understanding of DevOps practices and CI/CD pipelines.
        
      • Familiarity with cloud services such as AWS , Azure , or GCP .
        
      • Hands-on experience with AI/ML workflows or deploying machine learning models in production.
        
      • Knowledge of big data technologies like Hadoop , Hive , or Spark .
        
      • Familiarity with MLOps tools and practices, such as MLflow , Kubeflow , or DataRobot .
        
        
        

        
        

        Education:
        

        • Bachelordegree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
          
          
          

          
          

          
          
          Benefits

          
          

          
          

          Why Join Us
          

          • Work on cutting-edge technologies and impactful projects.
            
          • Opportunities for career growth and development.
            
          • Collaborative and inclusive work environment.
            
          • Competitive salary and benefits package.
            
            
            
            ","