Cloud DevOps Engineer (Data Engineering Focus) AWS Cert Required

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Written by AI from the job title and company, not by SAMO Technologies, so some details may not match this job. The employer's own page has the real description.

Overview

The Cloud DevOps Engineer (Data Engineering Focus) at SAMO Technologies is responsible for automating, deploying, and managing data-centric applications and infrastructures in a cloud environment. This role requires a strategic focus on AWS services to support data processing and analytics frameworks while ensuring high availability, performance, security, and scalability of cloud-based applications. The ideal candidate will collaborate closely with data engineering teams to implement CI/CD pipelines, enhance system reliability, and contribute to the overall efficiency of data workflows.

Job Responsibilities

• Design and implement cloud-based solutions leveraging AWS services tailored for data engineering projects.
• Automate deployment pipelines and manage CI/CD processes for seamless integration and delivery of data applications.
• Monitor and optimize cloud infrastructure performance to ensure high availability and responsiveness.
• Collaborate with data engineers to understand data handling requirements and ensure seamless end-to-end data flow.
• Develop and maintain documentation of system architecture, standards, and processes.
• Implement security policies and best practices to maintain data integrity and compliance.
• Troubleshoot and resolve infrastructure and application issues related to AWS services.
• Participate in code reviews and contribute to best practices in DevOps processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in cloud engineering or DevOps roles, focusing on data engineering.
• Deep understanding of AWS services, such as EC2, S3, Lambda, RDS, and Redshift.
• AWS Certification required (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
• Proficiency in scripting languages such as Python, Bash, or similar.
• Experience with infrastructure as code tools like Terraform or CloudFormation.
• Strong knowledge of CI/CD tools, such as Jenkins, GitLab, or similar platforms.
• Familiarity with containerization and orchestration technologies like Docker and Kubernetes.

Technologies & Tools

The role of Cloud DevOps Engineer utilizes various technologies and tools to effectively manage and support data engineering initiatives. Key technologies include AWS, where services such as EC2, S3, Lambda, RDS, and Redshift are pivotal. Additionally, tools for automation and orchestration like Terraform, Jenkins, Docker, and Kubernetes play essential roles in streamlining processes and ensuring continuous integration and delivery. Familiarity with data pipelines and ETL processes is also critical in this position.

Ideal Candidates

Ideal candidates for the Cloud DevOps Engineer position will be proactive self-starters with strong problem-solving abilities. They possess excellent analytical skills and a keen eye for detail, enabling them to optimize processes and troubleshoot effectively. A collaborative mindset is essential, as the role involves working closely with diverse teams across the organization. Strong communication skills, both verbal and written, are important for articulating technical concepts to non-technical stakeholders. The ideal candidate is also motivated by a passion for cloud technologies and continuous learning in the rapidly evolving landscape of data engineering.