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

As the Senior Analytics Platform Engineer, you will be responsible for developing solutions to support the delivery of product roadmaps for multiple Data Analytics platforms. You will engage with technical product manager, architect, and other members of the organization to design and deliver solutions to address business needs. You will also be responsible for testing the solutions, updating SDLC documentation and releasing capabilities as part of specific product releases.

What will you do in this role

• Architect, build, deploy, and maintain cloud infrastructure, containerization, and orchestration (e.g., Kubernetes) to support our application and data integration platform.
• Lead technical implementation of platform features and manage their adoption across engineering and product teams.
• Collaborate with product managers and customers to understand requirements and translate them into scalable, secure infrastructure solutions.
• Participate in product planning: contribute to backlog prioritization, provide estimations, and support timely delivery of enhancements.
• Ensure platform availability and reliability; monitor performance and implement optimizations.
• Proactively identify and implement cost-saving opportunities for cloud and platform resources.
• Collect and act on user feedback to improve platform usability and adoption.
• Work effectively in a matrix organization, aligning functional engineering goals with product priorities.

What should you have

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related science or technology discipline.
• 7 to 11 years of overall experience and Minimum 5 to 7 years of experience in software/platform engineering practices (including versioning, release management, deployment, agile & related software tools - GitHub Actions, Cloudbees CD, Terraform, Cloudformation, Kubernetes etc.

Required Skills:

• Extensive Hands-on experience designing, deploying, and operating cloud-native infrastructure (AWS preferred; experience with Azure or GCP acceptable).
• Good Experience in Data & integration and understanding data analytics concepts, ETL/ELT and integration platform architecture.
• Strong understanding and experience in data analytics ecosystem and prefer to have experience in the data ingestion, curation and orchestration tools.
• Proven experience owning end-to-end Airflow platform operations, including environment setup and upgrades, DAG scheduling and resource optimization, user/role management, monitoring and alerting, and troubleshooting performance/dependency issues across on-prem and/or cloud deployments.
• Extensive knowledge of cloud networking, security best practices, and cost optimization.
• Experience with container platforms and orchestration (Kubernetes, Docker).
• Proficient with IaC tools (Terraform, CloudFormation or equivalent).
• Strong experience building and maintaining CI/CD pipelines and automation (GitHub Actions).
• Architect automated security controls, including Role-Based Access Control (RBAC), row/column-level security, OIDC/OAuth integrations, and automated audit logging to meet strict enterprise and regulatory compliance standards
• Establish platform SLAs/SLOs and end-to-end observability (Datadog, Prometheus, Monte Carlo). Proactively lead FinOps initiatives to monitor, optimize, and govern compute and storage spend across analytical workloads
• Extensive Practical programming/scripting skills (Python, Bash/Shell).
• Solid understanding of version control, release management, deployments, and related tooling.
• Familiar with SDLC, basic QA/testing practices, and release verification.
• Experience with monitoring, logging and observability tooling (Prometheus, Grafana, Acceldata or similar).
• Proven ability to maintain platform availability, troubleshoot production issues, and implement optimizations.
• Solid understanding of version control, release management, deployments, and related tooling.
• Experience working closely with product teams; able to translate customer needs into technical solutions.
• Product- and customer-centric mindset with experience participating in product lifecycle activities.
• Experience working in Agile teams and knowledge of Scrum.
• Strong written and verbal communication skills, and ability to work in a matrixed organization.
• With a wealth of knowledge and hands-on experience, regularly mentor peers, provide help, aid in defining standards, and identify reusable components and platform automation opportunities.

Primary Skills (Must have):

• Amazon Web Services (AWS)
• Cloud Networking and Operations.
• Data Engineering
• Infrastructure Security
• Kubernetes
• Platform Engineering
• Software Development Life Cycle (SDLC)
• Solution Architecture
• System Designs

Who we are:

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.

What we look for:

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.

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Required Skills:

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Current Employees apply HERE

Current Contingent Workers apply HERE

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Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

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