Data Modeling Techniques and Methodologies

Roles & Responsibility

Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and design cloud-based solutions.
- Develop and implement cloud infrastructure and platform environments.
- Create proof of architecture to test architecture viability, security, and performance.
- Ensure the availability, scalability, and reliability of cloud applications.
- Troubleshoot and resolve issues related to cloud infrastructure and applications.
 

Requirements

Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong understanding of cloud computing concepts and technologies.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of infrastructure as code tools like Terraform or CloudFormation.
- Familiarity with containerization technologies like Docker and Kubernetes