Reference Data Sr Associate Engineer

Reference Data Sr Associate Engineer
India - Hyderabad Apply NowABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
We are seeking a Reference Data Management Senior Analyst who as the Reference Data Product team member of the Enterprise Data Management organization, will be responsible for managing and promoting the use of reference data, partnering with business Subject Mater Experts on creation of vocabularies / taxonomies and ontologies, and developing analytic solutions using semantic technologies.
Roles & Responsibilities:
Work with Reference Data Product Owner, external resources and other engineers as part of the product team
Develop and maintain semantically appropriate concepts
Identify and address conceptual gaps in both content and taxonomy
Maintain ontology source vocabularies for new or edited codes
Support product teams to help them leverage taxonomic solutions
Analyze the data from public/internal datasets.
Develop a Data Model/schema for taxonomy.
Create a taxonomy in Semaphore Ontology Editor.
Perform Bulk-import data templates into Semaphore to add/update terms in taxonomies.
Prepare SPARQL queries to generate adhoc reports.
Perform Gap Analysis on current and updated data
Maintain taxonomies in Semaphore through Change Management process.
Develop and optimize automated data ingestion / pipelines through Python/PySpark when APIs are available
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Identify and resolve complex data-related challenges
Participate in sprint planning meetings and provide estimations on technical implementation.
Basic Qualifications and Experience:
Master’s degree with 6 years of experience in Business, Engineering, IT or related field OR
Bachelor’s degree with 8 years of experience in Business, Engineering, IT or related field OR
Diploma with 9+ years of experience in Business, Engineering, IT or related field
Functional Skills:
Must-Have Skills:
Knowledge of controlled vocabularies, classification, ontology and taxonomy
Experience in ontology development using Semaphore, or a similar tool
Hands on experience writing SPARQL queries on graph data
Excellent problem-solving skills and the ability to work with large, complex datasets
Understanding of data modeling, data warehousing, and data integration concepts
Good-to-Have Skills:
Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.).
Experience using cloud services such as AWS or Azure or GCP
Experience working in Product Teams environment
Knowledge of Python/R, Databricks, cloud data platforms
Knowledge of NLP (Natural Language Processing) and AI (Artificial Intelligence) for extracting and standardizing controlled vocabularies.
Strong understanding of data governance frameworks, tools, and best practices
Professional Certifications:
Databricks Certificate preferred
SAFe® Practitioner Certificate preferred
Any Data Analysis certification (SQL, Python)
Any cloud certification (AWS or AZURE)
Soft Skills:
Strong analytical abilities to assess and improve master data processes and solutions.
Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
Effective problem-solving skills to address data-related issues and implement scalable solutions.
Ability to work effectively with global, virtual teams
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.