AWS Data Engineer

• 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.