Python+pyspark(5-9 yrs)s

Roles and Responsibilities

• Design, develop, test, deploy, and maintain scalable data pipelines using PySpark.
  
• Collaborate with cross-functional teams to identify business requirements and design solutions.
  
• Develop high-quality code that meets industry standards and best practices.
  
• Troubleshoot issues related to data processing, ETL, and machine learning models.
  

Desired Candidate Profile

• 5-8 years of experience in Data Engineering with expertise in PySpark (Python + Spark).
  
• Bachelor's degree in Any Specialization (B.C.A., B.Sc.,B.Tech.,).
  
• Strong understanding of SQL concepts and ability to write complex queries.
  
• Proficiency in working with popular libraries such as Pandas, NumPy, Django/Flask for building web applications.