Java Spark Developer,

Roles and Responsibilities

• Design, develop, test, deploy, and maintain large-scale data processing pipelines using Scala/Spark.
  
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
  
• Develop high-quality code that is efficient, scalable, and easy to maintain.
  
• Troubleshoot complex issues related to big data processing and provide timely resolutions.
  
• Stay up-to-date with industry trends and best practices in big data technologies such as Hadoop, Spark, etc.
  

Desired Candidate Profile

• 6-11 years of experience in Java development with expertise in Spark development.
  
• Strong understanding of Scala programming language and its applications in big data processing.
  
• Experience working on large-scale projects involving distributed computing frameworks like Hadoop or similar technologies.
  
• Proficiency in developing microservices architecture using Scala/Spark.