Python / PySpark Developer

• Architect and implement robust data pipelines using Python and PySpark to process and transform large-scale datasets efficiently.
  
• Design, develop, and maintain secure and scalable RESTful APIs to facilitate seamless data exchange between systems.
  
• Deploy, monitor, and manage cloud infrastructure and applications on AWS, ensuring high availability and performance.
  
• Collaborate with cross-functional teams to define technical specifications and translate business needs into functional software solutions.
  
• Optimize code for maximum speed, scalability, and reliability while adhering to best coding practices and security standards.
  
• Troubleshoot and resolve complex technical issues related to data processing, API connectivity, and cloud deployments.
  

• Minimum of 6 to 9 years of professional experience in software development, with a strong focus on data engineering and backend systems.
  
• Proven expertise in Python programming, including mastery of its libraries and frameworks for data manipulation.
  
• Extensive hands-on experience with Apache PySpark for building distributed data processing applications.
  
• Solid understanding and practical application of AWS cloud services for deployment and infrastructure management.
  
• Demonstrated proficiency in designing and consuming REST APIs within enterprise-level applications.
  
• Ability to work effectively in a dynamic IT Services environment, delivering high-quality code under tight deadlines.