AWS Data Engineer

Role: Data Engineer(AWS, Python) Duration : Contract Location: Atlanta, GA 30354- Hybrid $55 Top Skillsets: Designing, developing, integrating, and running business, big data and data science applications Software engineering with Python. AWS services with an emphasis on managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API gateway Infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, Cloud Formation) Application deployment with continuous delivery and continuous integration (Git, GitLab, Jenkins) Experience in Java, Full-stack, C#, .NET and/or Python development experience is required Experience working with GitHub and/or GitLab, SonarQube, JUnit, Spring Boot Skilled in writing, designing unit test cases using TDD and BDD methodologies Hands on experience of virtualizing services for test automation using tools such as Wire Mock, Mockito etc. Automation-minded: Hands on experience of designing and writing automated tests for backend applications and data flow, using tools such as Postman, REST Assured, Cypress, Ready API etc. Hands on experience of working with continuous integration tools such Jenkins, Circle CI. Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.) Experience using relational and object databases and web service development standards and practices, including RESTful APIs, micro-services, and services Experience working in an agile development environment using workload management tools like VersionOne/Agility Expert troubleshooting and deployment experience with strong understanding of transforming business and functional requirements into efficient technical solutions Working knowledge of MQ AWS Certification is a plus Responsibilities: Develop amazingly efficient and effective software using Java, C#, Python, .Net, Spring Boot, Microservices, APIs Enhance and maintain on prem and internal PAAS applications, and actively rework these to AWS along project timelines Help to design and implement serverless patterns from containerized applications Build industry standard APIs and help with establishing, consuming & routing calls, connectivity protocols and policy Design, develop and implement architecture patterns that are optimized for SLAs, reliability, and cost Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices • Provide assistance and support other team members where required, including troubleshooting and maintenance of production systems/programs/applications

Created: 2026-03-10