Be an early applicantLess than 25 applicants

Company

Original Job Post

myGwork - LGBTQ+ Business Community · 2 days ago

Senior DevOps Engineer - Commercial Analytics Engineering

New York, NY

Full-time

Onsite

Senior Level

$117K/yr - $196K/yr

7+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Internet

Insider Connection @myGwork - LGBTQ+ Business Community

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Design and implement secure and scalable infrastructure tools, data integrations, and automation using modern light-weight technologies that enable data engineering (content development) to create scaled analytics.

Collaborate with cross-functional teams including Pfizer Enterprise IT to align, standardize, optimize, and scale infrastructure in alignment with Pfizer's standards.

Own and refine existing continuous integration continuous delivery (CI/CD) processes for build, test, and deployment within the Commercial Analytics Engineering platform stack.

Work closely with content development teams to streamline workflows and improve efficiency of tools for their use in the local development context, following SDLC best practices.

Innovate to solve complex problems that require knowledge of containers, APIs, AWS and Azure cloud infrastructure, security, and best practices in infrastructure engineering.

Develop monitoring solutions and operational process for analytics platforms, ensuring early detection and rapid response to potential issues.

Participate in incident response activities, troubleshoot problems, and implement preventive measures such as expansion of QA frameworks.

Collaborate with Data Science and Analytics Engineering teams to understand application requirements and provide effective infrastructure support.

Maintain comprehensive documentation of infrastructure configurations and processes, including the DevOps runbook.

Own coding and engineering best practices standards and governance for a multi-faceted set of ELT pipelines that operate on various cadences to satisfy business requirements.

Implement security best practices to protect analytics environments and ensure compliance with Pfizer's stringent standards.

Collaborate with our internal and external technical and business partners on design and implementation of efficient data systems; compute utilization and code tuning strategies included.

Lead and build test automation tools and frameworks to test pipelines.

Partner with enterprise Digital Engineering team to identify or code APIs that need to be instrumented for data analytics and reporting and align with already established data pipelines.

Analyze technical debt, legacy architectures, and work with other leads on optimizing design and re-platforming efforts.

Ramp up quickly in understanding data sources required for data products and the goals of Commercial Analytics in a Pharma business.

Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AgilePythonSQLLinuxGitInfrastructure as CodeContainersDockerECSKubernetesCloud PlatformsAWSAzureEvent-Driven ArchitectureAPIsRDBMSSQL AnalyticsBig Data ProcessingAutomationStep FunctionsAirflowCronDigital Diagraming ToolsSDCLCI/CDDevOpsGitOpsProdOpsJiraConfluence

Required

Bachelor's degree (Master's a plus) in computer science, engineering, or related applicable field.

7+ years of development operations and platform engineering experience, working in an agile development team to architect and develop tooling, utilities, and data integrations while mentoring junior developers.

Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred, commercial/marketing experience is a plus.

Advanced experience in python, sql, linux based OS, git, and infrastructure as code.

Professional hands-on experience with containers (e.g., Docker, ECS, Kubernetes), cloud platforms (e.g., AWS, Azure), and event-driven architecture is required.

Professional hands-on experience in design, development, testing/mocking, and deployment of APIs is required.

Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark).

Advanced experience working in multi-stage environments that leverage automation such as Step Functions, Airflow, Cron, etc.

Must demonstrate ability to leverage digital diagraming tools and communicate technical requirements in a remote setting.

Strong understanding of Agile, SDCL, CI/CD, DevOps, GitOps, and ProdOps is required.

Must have experience working in Jira and Confluence, and be a strong writer, contributing to engineering team documentation/playbooks.

Prioritizes excellence in data engineering by following F.A.I.R. principals and adheres to engineering and documentation standards set in the organization.

Professional certification in relevant DevOps tools or cloud platforms.

Professional experience in system architecture and writing requirements documents.

Practical hands-on experience in event driven job schedulers, orchestration, and micro-services architecture.

Hands-on experience with cost-optimization strategies for data analytics and informatics.

Familiarity with data privacy standards, pharma industry practices/FDA compliance is a plus.

Preferred

Experience in developing QA automation frameworks, functional and non-functional, is a plus.

Familiarity with DBA activities, master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.