SAP Consultant
Xtremax ดูงานทั้งหมด
- กรุงเทพฯ
- งานประจำ
- ฟูลไทม์
- Understanding the needs and requirements of the clients by coordinating with their representatives and seeking clarity on every minute detail in order to provide the best possible solution.
- SAP on Cloud Architecture: Design, migrate, and implement robust infrastructure for SAP workloads across AWS, Azure, and GCP.
- Data & AI Platform Implementation: Build and deploy scalable data platforms that support AI, machine learning, and advanced visualization capabilities.
- Client Consultation: Partner directly with clients to translate business needs into technical specifications for cloud-native solutions and SAP integrations.
- MVP & Innovation: Lead Proof of Concept (POC) and Minimum Viable Product (MVP) initiatives to demonstrate the value of Cloud and AI technologies to stakeholders.
- Infrastructure as Code (IaC): Utilize Terraform, CloudFormation, or ARM to automate the provisioning of complex enterprise environments.
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Cloud Expertise: Minimum 3-5 years of hands-on experience with AWS, Azure, or Google Cloud architecture.
- SAP Proficiency: Proven experience deploying or managing SAP systems in a corporate/enterprise cloud environment.
- Data & AI Literacy: Familiarity with modern data ecosystems (Data Lakes, Warehouses) and AI/Visualization tools.
- Technical Stack:
- Strong understanding of Container Clusters (Kubernetes/ECS).
- Proficiency in scripting (Python, Bash, PowerShell).
- Experience with Database design (Relational & NoSQL).
- Communication: Excellent verbal and written skills for client-facing presentations and solution defense.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
- Important: Only Thailand Nationality will be proceed
- AWS Certified (AWS Solutions Architect, AWS SysOps Engineer).
- Experience with other cloud providers (e.g., Azure, Google Cloud Platform).
- Knowledge of other Infrastructure as Code tools (e.g., Terraform, Terragrunt).
- Familiarity with containerization technologies other than Kubernetes (e.g., Docker).