Senior Data Engineer
Amgen · Hyderabad · onsite · Posted 65d ago
Undisclosed8–13 yrsfulltimeSourced from
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About this role
Job Summary
As a Senior Data Engineer at Amgen, you will be responsible for designing and building enterprise knowledge and context capabilities that enable reliable, scalable, and governed AI solutions.
The role will focus on developing the foundational services through which AI applications and agents discover, retrieve, understand, and use enterprise information. This includes structured data, documents, business terminology, reference data, metadata, semantic models, business rules, and domain-specific knowledge.
The successful candidate will work across data engineering, knowledge management, metadata, search, AI, and platform engineering teams to establish reusable knowledge services rather than building isolated solutions for individual use cases.
This is a hands-on engineering role requiring strong technical depth, architectural thinking, and the ability to work with business and scientific stakeholders to translate domain knowledge into scalable data and AI capabilities.
Required Qualifications - Experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, or comparable modern data platforms.
- Experience with cloud platforms such as AWS, including storage, compute, security, networking, and managed AI services.
- Experience processing unstructured content such as PDF, Microsoft Word, presentations, web content, or scientific and technical documents.
- Understanding of search and information-retrieval concepts, including indexing, relevance, filtering, ranking, and hybrid search.
- Experience with vector databases, embedding models, retrieval-augmented generation, semantic search, or large language model applications.
- Familiarity with metadata-management or data-governance platforms such as Collibra or equivalent tools.
- Experience with reference data, controlled vocabularies, taxonomies, business glossaries, ontologies, or knowledge graphs.
- Familiarity with agentic AI patterns, orchestration frameworks, tool integration, or Model Context Protocol(MCP).
- Experience implementing authorization, auditability, provenance, and governance for enterprise AI solutions.
- Experience working in a regulated industry such as biotechnology, pharmaceuticals, healthcare, financial services, or life sciences.
- Knowledge of scientific, clinical, regulatory, commercial, or enterprise data domains would be advantageous.
- Bachelors or Master's degree with 8 - 13 years of experience in Computer Science, IT or related field
- Excellent analytical and troubleshooting skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
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Skills
IndexingApache SparkData Engineercloud platformsApacheai servicesdata platformsamazon web servicesbiologyBiotechnologyDatabricksData EngineeringHealthcarecloudCommunication SkillsFinancial ServicesAi SolutionsArtificial Intelligence
About Amgen
Amgen
Biotechnology
1.5k+
employees
1980
46 years old
Hyderabad, Telangana
India
About
Amgen operates in the biotechnology sector, developing and delivering advanced medicines to address critical health challenges globally.
Industries
BiotechnologyBiotech & Life sciences
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