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Design and build scalable data engineering solutions using modern big data technologies and cloud platforms. Develop and maintain data pipelines using Spark, SQL, and ETL tools while ensuring data quality and performance. Migrate on-premise systems to AWS cloud and optimize large-scale distributed data systems. Collaborate with teams to deliver data-driven solutions, perform code reviews, and manage production deployments. Monitor pipelines, troubleshoot issues, and continuously improve data architecture and processes.