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 critical role in the design, deployment, and optimization of our commercial analytics solutions. This position involves collaborating with various teams to enhance our cloud infrastructure, streamline deployment processes, and ensure high availability and performance of analytics platforms. The ideal candidate will leverage their technical expertise to implement best practices in automation and continuous integration, driving efficiency and reliability in our analytics operations.

Job Responsibilities

• Design, implement, and maintain cloud-based infrastructures to support commercial analytics applications.
• Develop and manage CI/CD pipelines to facilitate smooth deployment and integration of software releases.
• Collaborate with development and data engineering teams to optimize application performance and reliability.
• Automate routine tasks and processes to enhance operational efficiency and reduce manual intervention.
• Monitor system performance and troubleshoot issues to ensure optimal operation of analytics platforms.
• Implement security measures to safeguard sensitive data and comply with regulatory requirements.
• Document processes, workflows, and best practices to maintain comprehensive operational manuals.
• Stay current with emerging technologies and industry trends to continuously advocate for improvements in our DevOps practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience in a DevOps or similar role, preferably within the pharmaceutical or analytics industry.
• Proficiency in at least one programming language (e.g., Python, Java, or Go).
• Strong experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of cloud services (e.g., AWS, Azure, or Google Cloud Platform) and a solid understanding of cloud architecture.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, or CircleCI).
• Familiarity with configuration management tools (e.g., Ansible, Puppet, or Chef).
• Excellent problem-solving skills and the ability to work collaboratively across departments.

Technologies & Tools

The Senior DevOps Engineer will work with a variety of technologies and tools, including but not limited to cloud platforms (AWS, Azure), container orchestration tools such as Kubernetes and Docker, CI/CD tools like Jenkins or GitLab, and configuration management solutions like Ansible or Terraform. Familiarity with analytics frameworks and data processing technologies (e.g., Apache Spark, SQL) is also advantageous to streamline analytics operations.

Ideal Candidates

Ideal candidates for this position will possess a strong technical acumen coupled with excellent communication skills. They should exhibit a proactive mindset, demonstrating initiative and creativity in problem-solving. A collaborative spirit is essential, as the role requires working closely with cross-functional teams. Candidates must have the ability to adapt to changing technologies and thrive in a fast-paced environment while maintaining attention to detail and quality standards.