Aws Data Engineer

Role Overview

We are looking for an experienced AWS Engineer with around 5-8 years of hands-on experience in designing, deploying, and managing applications on the AWS cloud platform. The ideal candidate should have strong expertise in AWS services, automation, and cloud security, along with the ability to collaborate with cross-functional teams to deliver scalable and secure cloud solutions.

Role & responsibilities

5-8 years of professional work experience in a relevant field

• Develop, deploy, and maintain applications using AWS cloud-native services.
• Build serverless solutions using AWS Lambda, API Gateway, and DynamoDB.
• Implement event-driven architectures with SNS, SQS, Step Functions, and Kinesis.
• Design and integrate RESTful APIs and microservices on AWS.
• Write reusable, testable, and efficient code using Python/Java/Node.js.
• Leverage AWS SDKs and CLI for automation and development workflows.
• Manage application deployment using CI/CD pipelines (CodePipeline, CodeBuild, GitHub Actions, Jenkins).
• Collaborate with DevOps teams on container-based solutions (ECS, EKS, Docker).
• Implement best practices for security, monitoring, and performance optimization.
• Troubleshoot and optimize cloud applications for cost and efficiency

Required Skills & Qualifications

• Bachelors degree in Computer Science, IT, or related field.
• 5+ years of hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, VPC, etc.).
• Strong knowledge of Infrastructure as Code (Terraform, AWS CloudFormation).
• Good understanding of networking concepts (VPC, Subnets, Route Tables, VPN, DNS).
• Experience in container orchestration (ECS, EKS, Kubernetes).
• Familiarity with monitoring and logging tools (CloudWatch, ELK, Prometheus, Grafana).
• Knowledge of DevOps practices and CI/CD pipeline setup.
• Strong scripting skills in Python, Shell, or PowerShell.
• AWS Certification is preferred.