Cloud Data Platform Engineer (AWS)
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.
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.
#LI-LN1 #LI-HYBRID
Required Experience:
IC
Employment Type : Full-Time
Experience: years
Vacancy: 1