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Merck Sharp & Dohme (MSD)
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Manager, Analytics Platform Engineer

Manager, Analytics Platform Engineer

Merck Sharp & Dohme (MSD)

4 - 8 years

6 - 10 Lacs

hyderabad

Posted:3 weeks ago| Platform:

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Skills Required

unix cvs automation linux agile healthcare scrum release management sdlc python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Required Skills:

Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing

Preferred Skills:

Secondary Language(s) :

Manager, 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 worlds greatest health threats.

Key Responsibilities:

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.

Required Qualifications:

Hands-on experience designing, deploying, and operating cloud-native infrastructure (AWS preferred).
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 (Ex. dbt cloud, Matillion, Airflow)
Good knowledge on 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, Jenkins, GitLab CI, etc.).
Practical programming/scripting skills (Python, Bash/Shell).
Comfortable working on Linux/Unix environments.
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.
Familiar with SDLC, basic QA/testing practices, and release verification.
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.

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