Description

You will design and develop scalable, resilient data service components and cloud-native engineering solutions.

Responsibilities

• Design and develop data lakes, CDC services, and scalable data service components using cloud-native technologies.
• Build and maintain CI/CD pipelines using AWS CodeBuild, CodeDeploy, and CodePipeline to automate deployments.
• Automate cloud infrastructure provisioning using Infrastructure as Code tools like AWS CloudFormation and Terraform.
• Develop and maintain APIs using AWS API Gateway and implement serverless, event-driven architectures.
• Manage configuration drift and ensure environment consistency while implementing monitoring, logging, and alerting.
• Collaborate with stakeholders to translate business requirements into actionable technical solution components.

Required Skills

• 5+ years of experience in cloud engineering and software development.
• Expertise in developing AWS full-stack applications using Python.
• Proficiency in data orchestration and managing Data Lakes and Data Platforms.
• Experience with AWS API Gateway and designing cloud-tailored APIs.
• Strong knowledge of cloud networking, including VPCs, subnets, and security groups.
• Hands-on experience with Identity and Access Management (IAM), Cognito, and role-based authorization.
• Ability to write automation scripts using Python and NodeJS.
• Proficiency with version control and DevOps tools including GitHub and AWS CodePipeline.
• Experience with serverless computing and event-driven architecture.

Preferred Skills

• AWS Data Engineer Associate certification.
• AWS Solutions Architect Professional certification.

Key Skills

Education

Any Graduate