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Test automation engineer at Amgen ensuring the quality of data pipelines and platforms: designs automated ETL/data validation tests (Python, PySpark, SQL) across AWS and Databricks, integrates tests into CI/CD, and also covers front-end Node.js testing and performance/load testing.
Manager in Amgen's media data operations: leads campaign data delivery, ingestion/QC, taxonomy compliance, and pipeline design for pharma marketing, coordinating analysts and US stakeholders. Core stack includes SQL, Python, Tableau, AWS, Databricks, and Salesforce/SFDC integrations.
An individual contributor architecting connected-data solutions for Amgen's Operations Transformation, combining information modeling, knowledge graphs, and Generative AI on enterprise platforms like Databricks, AWS, SQL/SPARQL, and OpenAI APIs. Focuses on regulated pharma data use cases, from proof of value to scalable, compliant AI products.
Senior Data Engineer at biotech company Amgen in Hyderabad who designs, builds, and optimizes cloud data pipelines and ETL/ELT platforms, owns pipeline projects end to end, and mentors junior engineers. Core stack is Python, PySpark, SQL, and cloud platforms (AWS preferred), with Spark and Airflow as pluses.
Full-stack engineering role at Amgen's Hyderabad tech arm: lead design, build, deployment, and operation of scalable enterprise apps using React/Vite, Python/FastAPI, and AWS, with strong DevSecOps (CI/CD, security scanning) and AI/LLM-enabled features, while mentoring engineers and owning delivery end to end.
Systems analyst on Amgen's Clinical Data Hub team in Hyderabad: gathers business requirements, writes user stories/specs in Jira, and develops and supports large-scale clinical data pipelines and analytics using Databricks, PySpark, SQL, Python, and AWS in a GxP-regulated, Agile environment. Requires evening/shift availability.
Senior Associate Data Scientist at Amgen's Hyderabad tech center building and deploying ML, statistical, and operations-research models on US pharma claims and patient-support (copay) data. Day-to-day involves maintaining a proprietary AI engine for gross-to-net initiatives, MLOps pipelines, and AI-driven dashboards using Python/R.
Full-stack engineer on Amgen's Precision Medicine team in Hyderabad, building Python/FastAPI backend services and React frontends on AWS for data-intensive R&D analytics platforms. Includes CI/CD, Databricks-based data work, and a required second shift (2:00pm–10:00pm IST).
Senior Data Scientist in Amgen India's R&D Data and Decision Science team in Hyderabad, working as a hands-on individual contributor to design, build, and run advanced analytics and AI/ML solutions for biotech/pharma R&D, with L2/L3 production support. Core stack includes Python/R, SQL, Databricks/Spark, BI tools, and AWS.
DevOps lead and client-facing specialist in Amgen's Commercial Data and Analytics team in Hyderabad. They drive roadmaps and delivery of cloud data platforms (AWS/Azure/GCP, Databricks), automate DevOps under SAFe, manage product owners, and enable AI/ML analytics capabilities.
Senior QA automation engineer at Amgen's Hyderabad technology center who designs and runs scalable automated tests for Veeva/Salesforce CRM, mobile/iPad apps, APIs, integrations, and data pipelines using Selenium, Playwright, PyTest, Python/PySpark, CI/CD integration, and AI-assisted testing to raise coverage and cut manual regression.
Senior finance-technology role at Amgen supporting the Operations Finance team: leads implementation, integration, and optimization of finance systems (SAP, Hyperion, Tableau, Smartsheet, Anaplan), automates reporting and planning, and ensures data governance and compliance, with preferred exposure to cloud, SQL/Python, RPA, and AI in finance.
Senior Software Engineer at Amgen's Hyderabad team designing, building, and deploying full-stack cloud applications (AWS, Python, JavaScript) and developing generative AI solutions with LLMs, RAG, and agent frameworks, while mentoring junior developers and owning projects from conception to deployment.
Full-stack engineer on Amgen's Applied AI (AI Studio) team in Hyderabad, owning an AI-enabled product end to end — frontend, APIs, distributed services, data — integrating ML/GenAI like RAG and bounded agents into production. Built with JavaScript/TypeScript, Python/Java/C#/Node.js and SQL, with cloud, CI/CD and regulated (GxP) delivery.
Full-stack engineer on Amgen's Operations Generative AI product team in Hyderabad, building and maintaining GenAI web applications for pharma process development functions. Day-to-day work spans React/Angular front ends, Python/Java/Node.js back ends, and AWS with LLM, RAG, and LangChain/LlamaIndex tooling.
Senior Business Analyst on Amgen's Clinical Data Foundation team in Hyderabad: translates clinical-data product needs into epics, user stories, acceptance criteria, and process maps for agile dev teams, mostly in JIRA/Scrum. Requires life sciences background; cloud (AWS/Azure/GCP), Databricks, and SAFe exposure preferred. Evening or night shifts may be required.
UX designer on Amgen's internal design-systems team: builds and evolves scalable, accessible UI components in Figma, manages brand onboarding, roadmaps, and governance, and partners with engineering on AEM to keep designs consistent across Amgen's multi-brand digital ecosystem.
DevOps engineer on Amgen's Commercialization Technology team in Hyderabad, building and securing the platforms behind portfolio decision intelligence. Day-to-day spans CI/CD pipeline automation, AWS infrastructure, Docker/Kubernetes deployments, infrastructure-as-code, DevSecOps controls, observability, and production troubleshooting.
Designs, integrates, and administers cloud-based high-performance computing (HPC) systems at Amgen, supporting data-science workloads like AI/ML and image analysis. Day to day: Linux cluster administration, CI/CD for multi-cloud deployments, and cost/security optimization. Core stack: AWS, Linux, SLURM, Terraform, Docker/Singularity.
Data engineer (Reltio MDM developer) at Amgen's Hyderabad technology center, designing and operating Master Data Management solutions on the Reltio platform for Pharma/Life Sciences data — building lifecycle actions, match/merge rules, and Python/Databricks integrations. Requires 5-9 years' experience.
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