Pyspark Developer

Roles and Responsibilities

• Design, develop, test, deploy, and maintain large-scale data processing pipelines using PySpark.
  
• Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
  
• Troubleshoot complex issues related to big data processing and provide timely resolutions.
  

Desired Candidate Profile

• 2-5 years of experience as a PySpark developer or similar role.
  
• Bachelor's degree (B.C.A. or B.Sc) from a recognized university.
  
• Strong understanding of Hadoop ecosystem components such as HDFS, MapReduce, YARN, Oozie etc. .
  
• Proficiency in Python programming language with hands-on experience on Apache Spark framework.