Senior DevOps Engineer - Commercial Analytics Engineering

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

Overview

The Senior DevOps Engineer - Commercial Analytics Engineering at Pfizer will play a crucial role in enhancing the Analytics Engineering capabilities within the organization. This position is responsible for implementing and managing robust CI/CD pipelines, automating infrastructure provisioning and monitoring, and ensuring the overall efficiency and reliability of the analytics platforms. The ideal candidate will collaborate closely with cross-functional teams to deliver high-quality analytics solutions that drive business insights and support operational excellence.

Job Responsibilities

• Design, implement, and maintain scalable CI/CD pipelines to streamline software deployment processes.
• Collaborate with data engineers and analysts to optimize performance and reliability of analytics workflows.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) frameworks such as Terraform or AWS CloudFormation.
• Monitor system performance and implement optimizations to enhance operational efficiency.
• Establish and uphold best practices for source control, testing, and deployment within the DevOps framework.
• Support the team in troubleshooting issues related to application performance and reliability.
• Participate in architecture discussions and design reviews to innovate and improve analytics solutions.
• Develop and document operational procedures for maintaining compliance and security standards.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• A minimum of 5 years of experience in DevOps, specifically within analytics or data engineering environments.
• Proficient in scripting languages such as Python, Bash, or PowerShell for automation tasks.
• Experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Expertise in cloud platforms (AWS, Azure, or Google Cloud) and related services for analytics solutions.
• Strong understanding of monitoring and logging tools, such as Prometheus, Grafana, and ELK Stack.
• Familiarity with security best practices and compliance requirements in a cloud environment.
• Excellent problem-solving skills and a strong attention to detail.

Technologies & Tools

The role of Senior DevOps Engineer at Pfizer requires proficiency in a diverse array of technologies and tools to efficiently manage analytics engineering processes. Key tools include AWS for cloud services, Terraform for infrastructure automation, Docker for container management, and Kubernetes for orchestration. Additionally, familiarity with CI/CD tools such as Jenkins or GitLab CI, along with monitoring solutions like Grafana and Prometheus, is essential for ensuring the reliability and performance of analytics systems.

Ideal Candidates

Ideal candidates for the Senior DevOps Engineer position possess a strong blend of technical expertise and soft skills. They should exhibit a proactive approach to problem-solving, coupled with an inherent drive for continuous improvement. Successful individuals will demonstrate effective communication abilities to collaborate across multidisciplinary teams and present complex technical concepts in a clear manner. Furthermore, adaptability and a commitment to staying updated on industry trends and emerging technologies are essential traits that set apart exceptional candidates in this dynamic environment.