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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.
Internal IS architect role at Amgen (biotech) in Hyderabad: gathering business requirements and designing, configuring, and delivering Kinaxis RapidResponse (Maestro) supply chain planning solutions (demand, supply, capacity, S&OP), including integrations with SAP S/4HANA via data lakes and APIs, within an Agile product team.
Leads Amgen's Manufacturing Excellence IT product team in Hyderabad: managing people, software delivery and operations, budgets, vendors, and compliance with quality/regulatory standards. Needs 8-12 years of technology leadership in pharma, biotech, manufacturing, or other regulated settings, with Agile, DevOps, and ITIL experience.
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.
Senior Manager leading a new Data Sciences & AI group within Amgen India's Global Supply Chain in Hyderabad — building scalable data and AI/ML-enabled solutions for clinical and commercial supply chain, combining people leadership, product ownership, and AI engineering in a GxP-compliant pharma environment.
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.
Architects, designs and implements SAP S/4HANA solutions for end-to-end Record to Report (finance/accounting) processes, guiding Amgen's migration from SAP ECC to S/4HANA. Core work spans SAP S/4 Finance and Controlling (GL, product costing, material ledger, transfer pricing), tax engine integrations, and cross-module integration, delivered via SAFe agile.
Senior Manager leading Amgen India's offshore biostatistical programming team in Hyderabad, overseeing end-to-end clinical trial analysis deliverables and regulatory submission packages for Amgen products. Core stack is SAS (STAT, Macro, Graph, SQL), with R/Python and automation tools as preferred skills.
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).
Amgen (biotech/pharma) is hiring a Specialist SAP Architect in Hyderabad to architect, design, and implement SAP S/4HANA Order-to-Cash solutions (order management, billing, invoicing, distribution, logistics) across its manufacturing and distribution sites, integrating SD with MM, FI, EWM, TM, ATTP, GTS, and Vistex.
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.
Senior Data Science Engineer at Amgen India (Hyderabad) leads development of data pipelines, ML solutions, and analytic applications that improve clinical trials across therapeutic areas. Core stack: R/Python, Spark/Dask, Git, Linux, and cloud, plus clinical data standards like CDISC and OMOP.
Full-stack engineer on Amgen's Forecasting Decision Intelligence team, building scenario-planning products end to end: React/TypeScript UIs for configuring, monitoring, and comparing scenarios, plus Python APIs, data integrations, and workflow services for forecasting, simulation, optimization, and AI-assisted decisions.
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.
Amgen's internal Digital, Technology & Innovation team in Hyderabad seeks a Specialist SAP Architect to design, configure, and implement SAP S/4HANA solutions focused on end-to-end Record to Report (RTR) finance processes, leading the migration from SAP ECC to S/4HANA with deep FI/CO, tax, and intercompany integration work.
Entry-level (Associate L3) analytics role in Amgen's Marketing Investment Optimization team in Hyderabad. The person builds statistical and marketing-mix models, writes custom analyses in SQL, Python/R and Excel, and helps turn marketing investment data into business recommendations under senior guidance.
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.
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