PySpark Data Engineer

Roles And Responsibilities:

• Responsible for developing and maintaining applications with PySpark
• Contribute to the overall design and architecture of the application developed and deployed.
• Performance Tuning wrt to executor sizing and other environmental parameters, code optimization, partitions tuning, etc
• Interact with business users to understand requirements and troubleshoot issues.
• Implement Projects based on functional specifications.

Must-Have Skills:

• Relevant Experience: 3-6 Years 
• SQL - Mandatory
• Python - Mandatory
• SparkSQL - Mandatory
• PySpark - Mandatory
• Hive - Mandatory
• HDFS and Spark - Mandatory
• Scala - Advantage
• Apache Airflow - Advantage  

Requirements