AWS Cloud Engineer

Cognizant

BANGALORE NM Years Exp Posted 527d ago

Job Description

  • 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.

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