Senior Specialist, Analytics Platform Engineer
Merck Gruppe - MSD Sharp & Dohme
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Benefits offered by this job
Job summary
Merck & Co., Inc. is seeking a Senior Analytics Platform Engineer in Hyderabad to design, build, and operate data science platforms across Domino, Dataiku, Posit, and SAS. You will automate infrastructure on AWS, maintain CI/CD, and ensure compliant SDLC processes within a global, agile team.
You will collaborate with PMs, architects, and engineers to deliver self-serve analytics capabilities, drive platform modernization, and support AI/ML initiatives in a regulated biopharma environment.
Qualifications
- 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 platform engineering work.
Responsibilities
- Build, configure, and customize DS platforms (Domino Data Lab, Dataiku, Posit, SAS) based on customer needs.
- Implement and maintain IaC with Terraform/Ansible and CI/CD on AWS infrastructure.
- Work in a multicultural agile team; participate in sprints and translate needs into solutions.
- Monitor platforms; troubleshoot issues; perform root cause analysis and preventives.
- Maintain SDLC documentation; ensure regulatory compliance (GxP).
- Develop technical docs; provide internal support; enable AI/ML capabilities.
- Estimate effort and plan deployments within sprint cycles.
Skills
Education
Tools
Job description
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.
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.
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.
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.
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.
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)
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.
Competitive remuneration and wide range of benefits.
A position in an industry-leading global company dedicated to saving and improving lives.
A challenging career with professional growth based on performance.
An innovative, multicultural, and highly collaborative working environment.
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
Amazon Web Services (AWS), Ansible on Microsoft Azure, Application Administration, Automation, Automation Management, AWS Administration, AWS Cloud Computing, Branching Strategy, CI/CD, Cloud Infrastructure, Cloud Platform, Configuration Management (CM), DevOps, Git, Information Technology (IT) Infrastructure, Infrastructure Administration, Infrastructure As Code (IaC), Linux System Administration, Platform Engineering, Python (Programming Language), Repository Management, System Configuration, Terraform (Software)
Regular
Domestic
No
No Travel Required
Hybrid
Not Indicated
No
n/a
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