Cloud Data Platform Engineer

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.

Requirements

* Bachelors 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.