Cloud / Data Platform Engineer (AWS)

Details:

Job Description

Cloud Engineer, Data Platform Engineer

• Responding to Data Platform/Cloud environment issues (cloud problem and incident management, e.g., portal access, security, etc.)
• Assisting with user access issues and modifying access requests.
• Using tools to ensure peak performance of deployed cloud environments.
• Using tools to ensure adherence to security best practices including MFA, key management, etc.
• Implementing tasks under the guidance of Cloud architects.
• Responding to cloud monitoring alerts.
• Assisting users with any Data Platform troubleshooting issues.
• Ensuring ongoing configuration management health.
• Creating and maintaining Runbook and other support documentation.
• Adhering to ITIL processes (change, problem, configure, incident management).
• Conducting onboarding sessions for new Data Platform use cases to familiarize them with the various components.

Job Requirements

Details:

Requirements

• Bachelor's degree in Information Technology.
• Infrastructure as a Service (IaaS) Cloud-based hands-on experience with key AWS services (IAM, VPC, S3, CloudFormation, CloudWatch…).
• Strong working experience with Infrastructure as Code (IaC) concepts, especially AWS CloudFormation.
• Solid knowledge and understanding of the software development lifecycle utilizing the DevOps framework around CI/CD.
• Understanding of data lifecycle end-to-end (from data ingestion to consumption).
• Familiarity with data catalogs or governance is a plus.
• Experience supporting production Cloud workloads using native and 3rd party tools.
• Good interpersonal skills, especially with a diverse and global user base.
• Good knowledge of CI/CD tools, processes, and procedures (e.g., Jenkins).
• Good knowledge of code and binary repositories (e.g., GitHub or BitBucket).
• Hands-on experience in scripting skills like Python or Bash
• Strong command of the English language (both verbal and written).

Additional Comments

• Talented and ambitious individual who thrives on innovation, learning, and problem-solving.
• Strong customer and service orientation.
• Ability to work in a global diverse environment.
• Team-oriented, especially working in an Agile team setting.
• Able to effectively collaborate, openly communicate, and reach across functional borders.
• Willingness to work outside business hours.
• Exposure to a wide tech stack and growth potential, including opportunities to learn about and potentially work with AI-related aspects within the data platform support side.