AWS Data Engineer needs 7+ years of experience in Amazon Web Services (AWS) Cloud Computing AWS Data Engineer requires: Strong background in designing, developing, and maintaining scalable data pipelines for ingestion and processing using Python, Spark, and AWS services AWS Data Engineer, Python, Spark, AWS Services, ETL, Glue, EMR, S3, Redshift, Airflow, Data Quality, CI/CD ETL Development: Implement and manage ETL processes using AWS Glue and EMR for both batch and streaming data Data Storage Solutions: Design and maintain storage solutions using Medallion Architecture in S3 and Redshift Workflow Orchestration: Monitor and optimize data workflows using Airflow or other orchestration tools Data Quality: Ensure accuracy, consistency, and integrity throughout the data lifecycle CI/CD: Implement and understand CI/CD practices for automated data pipeline deployment System Monitoring: Utilize CloudWatch and Datadog for performance monitoring and reliability Collaboration: Work closely with cross-functional teams to gather requirements and deliver business-driven data solutions Communication: Strong ability to communicate project updates and technical details to stakeholders.