Spark Scala Developer(5-9 yrs)s

Roles and Responsibilities

• Design, develop, test, deploy, and maintain large-scale data processing pipelines using Spark.
  
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
  
• Develop high-quality code in Scala/Python to process big data sets stored in Hadoop ecosystem (HDFS, S3).
  
• Troubleshoot issues related to data quality, performance optimization, and scalability of the system.
  

Desired Candidate Profile

• 5-9 years of experience working on Big Data projects with expertise in Spark/Hadoop technologies.
  
• Strong proficiency in programming languages such as Python or Scala; knowledge of SQL is an added advantage.
  
• Bachelor's degree in Any Specialization (B.C.A., B.Sc.,B.Tech.,).
  
• Experience working with cloud platforms like AWS/Azure/GCP is desirable but not mandatory.