Senior Specialist, Analytics Platform Engineer

Merck; Hyderabad; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Merck in Hyderabad seeks a Senior Analytics Platform Engineer to lead hands-on development and automation of data science platforms (Domino, Dataiku, Posit, SAS) across AWS. You will drive platform delivery, maintain SDLC artifacts, and ensure compliance in a global, agile setting.

You will collaborate with product managers and architects to translate requirements into scalable infrastructure, enabling self-serve analytics and advanced AI/ML capabilities for diverse research teams.

Qualifications

• 7–10 years of total experience, 3+ years in platform engineering and IT infrastructure projects.
• Bachelor's degree in CS, IT, or related field.
• Hands-on admin experience with data science platforms (Domino Data Lab, Dataiku, Posit, SAS).
• AWS cloud expertise including EKS; familiarity with Terraform/Ansible and CI/CD.

Responsibilities

• Build, configure, and customize data science platform capabilities to support product roadmaps.
• Automate infrastructure with Terraform, Ansible, Git, and CI/CD on AWS.
• Collaborate in an Agile, global team, translating business needs into technical solutions.
• Monitor platforms, troubleshoot issues, perform root-cause analysis, and ensure reliability.
• Maintain SDLC documentation, ensure compliance (GxP), and support new AI/ML capabilities.
• Create technical docs and enable knowledge sharing across teams.
• Estimate effort and plan deployments within sprint cycles.

Skills

Data Science Platforms

AWS Cloud

Kubernetes (EKS)

Terraform

Ansible

Git

CI/CD

Dataiku

Domino Data Lab

Posit (Connect/Workbench)

SAS

Education

Bachelor's degree in Computer Science / IT or related field

Tools

Domino Data Lab

Dataiku

Posit Connect/Workbench

SAS

AWS

EKS

Terraform

Ansible

Git

CI/CD

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 our company's 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 ser