Data Engineer (PySpark)

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:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good experience in SQL DBs - Be able to write queries including fair complexity.
• Should have excellent experience in Big Data programming for data transformation and aggregations
• Good at ETL architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
• Good customer communication.
• Good Analytical skills