• In-depth knowledge of AWS services including EC2, S3, RDS, Lambda, ACM, SSM, and IAM.
• Proficient knowledge on AWS advanced networking services including CloudFront, Transit Gateway
• Infrastructure as Code (IaC): Proficient in AWS CloudFormation and Terraform for automated provisioning.
• Containerization: Experience with Kubernetes (EKS) and Elastic Container Services (ECS)for orchestration and deployment of microservices.
• Engineers are expected to be able to execute upgrades independently.
• CI/CD Pipelines: Familiar with tools like Azure DevOps Pipelines for automated testing and deployment.
• Monitoring & Logging: Knowledge of AWS CloudWatch, CloudTrail, OpenSearch and Grafana monitoring tools.
• Security Best Practices:Understanding of AWS security features and compliance standards.
• Scripting Languages: Proficient in common languages (PowerShell, Python and Bash) for automation tasks.
• Agile Frameworks:Proficient knowledge about Agile ways of working (SCRUM, SAFe)
• IaaS:Proficient knowledge on common operating systems (Windows, Linux)
• Mindset: Platform engineers must focus on automating activities where possible, to ensure stability, reliability and predictability.

Qualifications:

• Show proficiency in using Amazon S3 for data storage and management.
• Exhibit strong skills in Apache Spark for data processing and optimization.
• Have excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Possess strong communication skills to effectively collaborate with cross-functional teams.
• Show a commitment to continuous learning and staying updated with industry trends.
• Demonstrate the ability to work independently and manage multiple tasks effectively.
• Have a strong attention to detail and a focus on data quality and integrity.
• Show experience in documenting data processes and workflows.
• Possess a proactive approach to identifying and addressing potential data issues.
• Have a strong understanding of data governance and security best practices.