Senior Specialist, Analytics Platform Engineer

Job Description Senior Specialist, Analytics Platform Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Are you an innovative technical expert looking to use your skills to make a tangible impact in a product-centric data and analytics organization within a global biopharmaceutical enterprise? Do you want to help various research and clinical teams build their solutions in a modular, integrated fashion, enabling an end-to-end customer journey? We are looking for someone who goes beyond just platforms and technologies to build true value-add, self-serve data and analytics products that ultimately help improve global health outcomes. As the Senior Analytics Platform Engineer , you will be a hands-on technical driver responsible for developing and automating solutions to support the delivery of product roadmaps across multiple Data Science platforms (including Domino Data Lab, Dataiku, Posit, and SAS). Working in a global, multicultural agile setup (working in sprints and using JIRA), you will engage directly with Technical Product Managers, Architects, and other cross-functional team members to design, configure, and deliver infrastructure solutions on AWS. You will also take ownership of testing, maintaining rigorous SDLC documentation, ensuring compliance, and seamlessly releasing capabilities through CI/CD pipelines. What will you do in this role Platform Engineering & Delivery: Build, configure, and customize capabilities within leading Data Science platforms (Domino Data Lab, Dataiku, Posit Connect/Workbench, and SAS) based on customer needs. This includes platform upgrades, modernization, and managing integrations (e.g., storage integrations, AI assistants). Automation & Infrastructure as Code: Implement and maintain robust platform automation using Terraform, Ansible, Git, and CI/CD pipelines for deployments on AWS infrastructure. Agile Collaboration: Work hands-on within a multicultural agile team, actively participating in sprints, managing work via JIRA, and collaborating with Product Managers and Architects to translate business needs into technical solutions. Operations & Troubleshooting: Monitor platforms, troubleshoot complex issues, provide root cause analysis, and implement preventive measures to ensure enterprise-grade reliability, robustness, and disaster recovery readiness. SDLC & Compliance: Update and maintain accurate SDLC documentation for all deployments, ensuring configurations and processes meet strict organizational and industry compliance standards (e.g., GxP). Knowledge Sharing & Support: Develop technical documentation, provide expert support to internal stakeholders, and enable new AI & ML capabilities within agreed-upon timelines. Estimation & Planning: Accurately estimate the effort required to deploy new capabilities and deliver them reliably within sprint cycles. What should you have Bachelor’s degree in computer science, Information Technology, or a related field. Total 7 to 10 years of experience, with 3+ years of hands-on experience in platform engineering and IT infrastructure projects. Required Skills: Data Science Platforms: Strong understanding and hands-on administrative experience with Commercial Off-The-Shelf (COTS) Data Science platforms, particularly Domino Data Lab, Dataiku, Posit (Package Manager, Connect, Workbench), and SAS environments. Cloud & Infrastructure: Expert knowledge of the AWS cloud ecosystem, including EKS (Kubernetes), storage services, database services, and AI/ML cognitive services. Automation & DevOps: Proven hands-on experience utilizing Infrastructure as Code (Terraform, Ansible) and modern CI/CD practices (Git, Bitbucket, Artifactory) to automate infrastructure provisioning and routine administrative tasks. Programming & Scripting: Proficiency in R and Python programming, data manipulation, and content creation (Shiny, Streamlit, Dash), alongside robust Linux Shell scripting or PowerShell skills. Agile & SDLC: Solid experience working on Agile teams (Scrum framework, JIRA) with a deep understanding of rigorous Software Development Life Cycle (SDLC) processes, ideally within a regulated (Pharma/Healthcare) environment. System Administration: Experience managing various Linux distributions (e.g., RHEL, Ubuntu) and implementing user authentication, access controls, and security policies. Primary Skills (Must have): AWS Cloud Infrastructure Administration (AWS preferred; Azure can be considered) IaC (Terraform) Automation & Configuration Management (Ansible or equivalent tools) Python Programming Linux Administration DevOps Practices, CI/CD Pipeline. Git Version Control (Branching, Commits, Repository Management). Platform/Application Administration Experience. IT Infrastructure & Cloud Platform Support Platform Engineering (Backend/System Configuration & Administration) Secondary Skills (Nice to have): Experience with HPC environments and resource managers like SLURM. Deep knowledge of containerization platforms and orchestration (Docker, Kubernetes). Experience with SDLC and validating software in a pharmaceutical context. Familiarity with integrating modern AI coding assistants (e.g., GitHub Copilot, Claude Code) into data science workflows. Data Science Platform Administration (Dataiku, Domino, SAS Administration) R Programming. Agile & Scrum Methodologies. Experience with Data Platforms and User Provisioning Activities. We Offer: