AWS Cloud Data Engineer

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Cloud Data Engineer based in the United States.** This is an exciting opportunity for a cloud and data engineering professional to design and build scalable AWS-based data solutions that drive business intelligence and operational excellence. In this role, you will play a key part in developing robust data pipelines, modernizing cloud infrastructure, and enabling data-driven decision-making across multiple products and teams. Working in a collaborative and fast-paced environment, you will combine expertise in cloud technologies, data architecture, and DevOps practices to create secure, high-performing solutions. The position offers broad exposure to modern AWS services, infrastructure automation, and enterprise-scale analytics initiatives, while providing opportunities to influence technical strategy and establish best practices across the organization. ### Accountabilities: - Serve as a shared technical resource across product teams, providing expertise in data integration, data modeling, analytics, and cloud infrastructure design. - Design, develop, and maintain scalable data pipelines using AWS technologies such as AWS Glue, Amazon Kinesis, and related services. - Build and manage cloud-native data storage solutions utilizing Amazon S3, Redshift, RDS, DynamoDB, and other AWS-managed databases. - Develop and maintain Infrastructure-as-Code (IaC) frameworks using tools such as AWS CloudFormation or AWS CDK to support scalable and repeatable deployments. - Design and implement CI/CD pipelines that automate application builds, testing, code quality checks, and deployment processes. - Deploy, monitor, and optimize AWS infrastructure resources to ensure performance, reliability, and scalability across products and environments. - Implement centralized logging, monitoring, and observability solutions to provide real-time visibility and facilitate troubleshooting. - Optimize ETL workflows and data processing frameworks to efficiently manage large and diverse datasets. - Establish and maintain secure AWS environments through IAM policies, role management, and adherence to security best practices. - Create technical documentation and deliver knowledge-sharing initiatives to support user adoption and operational excellence. - Evaluate emerging AWS technologies and recommend improvements to continuously enhance the organization's cloud and data ecosystem. - Ensure all solutions comply with security standards and industry best practices, including OWASP Top 10, CWE Top 25, and CIS AWS Foundations Benchmark guidelines. ## Requirements - Bachelor's degree in Computer Science, Information Systems, Data Analytics, Economics, or a related technical field, or equivalent professional experience. - Minimum of 5 years of relevant experience in data engineering, cloud engineering, or related technical disciplines. - Proven experience designing and implementing large-scale data projects and cloud-based data architectures. - Strong expertise with AWS services including AWS Glue, Kinesis, S3, Redshift, RDS, DynamoDB, IAM, and related cloud technologies. - Hands-on experience with Infrastructure-as-Code tools such as AWS CloudFormation or AWS CDK. - Solid understanding of CI/CD practices, DevOps methodologies, and automated testing frameworks. - Experience developing and optimizing ETL processes and managing data integration across multiple systems. - Strong analytical and problem-solving skills with the ability to translate technical requirements into scalable solutions. - Excellent written and verbal communication skills, including technical documentation and stakeholder engagement. - Demonstrated ability to collaborate effectively with cross-functional teams and manage multiple priorities in fast-paced environments. - Self-motivated and capable of working independently while maintaining high standards of quality…