Reference Data Sr Associate Engineer

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 :

Functional Skills : Must-Have Skills :

Good-to-Have Skills :

Professional Certifications   :

Soft Skills :

Skills Required

Sql, Python, Data Modeling, Data Governance, Api Development