Data EngineerData Storage: Manage and optimize data storage solutions, including Amazon S3, Redshift, and other AWS storage services.Data Processing: Utilize AWS services like AWS Glue, Amazon EMR, and AWS Lambda to process and analyze large datasets.Data Monitoring and Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.Integration: Collaborate with data scientists, analysts, and other stakeholders to integrate AWS-based solutions into data analytics and reporting platforms.Documentation: Maintain thorough documentation of data engineering processes, data flows, and system configurations.Scalability: Design AWS-based solutions that can scale to accommodate growing data volumes and changing business requirements.Must Have:Experience with AWS services on big data platforms.Python experience in building Dash application in AWSSparkShell scripting and Linux knowledgeNice to have:Looking for candidates who have worked in Marketing TechnologyQualifications:Educational Background: A bachelor's degree in computer science, information technology, or a related field is typically required.Communication Skills:Effective communication and collaboration skills to work with cross-functional teams.