SR Data Engineer

MUST ANSWER

1. On what projects have you designed and developed scalable and reliable backend services, APIs, and microservices using AWS?
2. Explain your experience designing and managing databases and data storage solutions using AWS services like RDS, DynamoDB, S3, and Redshift?
3. Experience implementing serverless architecture using AWS Lambda, API Gateway, and other AWS managed services? What projects/Project Scope
4. Where are you located - City and State?
5. Are you open to a perm role after 6 months?
6. Are you working through an employer or independent? If employer provide their information.

Skills:

• Implement serverless architectures.
• Design and manage databases and data storage solutions using AWS services like RDS, DynamoDB, S3, and Redshift.
• RESTful APIs

Requirements
Architecture and Development:
Design and Implementation:


Design and develop scalable and reliable backend services, APIs, and microservices using AWS.
Implement serverless architectures using AWS Lambda, API Gateway, and other AWS managed services.
Data Management:


Design and manage databases and data storage solutions using AWS services like RDS, DynamoDB, S3, and Redshift.
Optimize data storage and retrieval processes for performance and cost-efficiency.
Integration and APIs:


Develop and maintain RESTful APIs and integrate third-party services using AWS API Gateway and other tools.
Ensure seamless communication between front-end applications and backend services.
Cloud Infrastructure and Operations:
Infrastructure Management:


Use Infrastructure as Code (IaC) tools such as AWS CloudFormation or Terraform to automate the deployment and management of AWS resources.
Monitor and maintain AWS infrastructure, ensuring high availability, performance, and security.
Security and Compliance:


Implement security best practices, including managing IAM roles and permissions, encrypting data, and securing APIs.
Ensure compliance with industry standards and regulations.
Continuous Integration/Continuous Deployment (CI/CD):


Set up and maintain CI/CD pipelines using AWS tools like CodePipeline, CodeBuild, and CodeDeploy.
Automate testing, deployment, and scaling processes to ensure fast and reliable delivery of applications.