Pyspark, AWS Core responsibilities:
Data pipeline development: Design, develop, and maintain high-performance data pipelines using PySpark.
Performance optimization: Optimize and tune existing data processing workflows for better performance and efficiency.
Data transformation: Implement complex data transformations and integrations, such as reading from external sources, merging data, and ensuring data quality.