We are looking for a highly skilled AWS Data Engineer with a strong background in AWS data services and a passion for building scalable data solutions. If you thrive in a dynamic environment and enjoy working with cutting-edge cloud technologies, we want to hear from you Key Responsibilities Design, develop, and optimize data pipelines and architectures using AWS services. Work extensively with AWS data services such as Glue, Lambda, S3, Redshift, and Athena. Develop and implement CI/CD pipelines to streamline data workflows. Write efficient, scalable code using Java, Scala, Python, or shell scripting. Leverage advanced SQL knowledge to optimize and manage large datasets. Collaborate with cross-functional teams to ensure seamless integration of data solutions. Utilize source code management tools such as AWS CodeCommit, GitHub, and CloudFormation. Follow Agile and Kanban methodologies for project execution. Requirements Minimum 8 years of experience as an AWS Data Engineer. Strong expertise in AWS Glue, Lambda, S3, Redshift, and Athena. Solid understanding of CI/CD concepts and best practices. Proficiency in Java, Scala, Python, or shell scripting . Advanced SQL language knowledge. Hands-on experience with AWS CodeCommit, GitHub, and CloudFormation. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Data Analytics. Experience working in Agile and Kanban methodologies.