Senior Taxonomy Data Engineer

1 week ago

Hyderabad Secunderabad Telangana, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000

**Job Summary**

As a Taxonomy Engineer, you will be responsible for designing, developing, and maintaining taxonomies to support our business operations. You will work closely with cross-functional teams to understand data requirements and design solutions that meet business needs.

**Responsibilities:**

  • Design and develop taxonomies to support our business operations
  • Work with cross-functional teams to understand data requirements and design solutions
  • Develop and maintain ontology source vocabularies for new or edited codes
  • Support product teams to help them leverage taxonomic solutions
  • Analyze data from public/internal datasets
  • Develop data models/schemas for taxonomy
  • Create taxonomies 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

**Qualifications & Experience:**

  • Degree in Computer Science, Information Technology or related field with 5-9 years of experience

**Functional Skills:**

  • Must-Have Skills: Knowledge of controlled vocabularies, classification, ontology, and taxonomy
  • Experience in ontology development using Progress Semaphore or similar tool
  • Hands-on experience writing SPARQL queries on graph data
  • Excellent problem-solving skills and ability to work with large complex datasets
  • Strong understanding of data modeling, data warehousing, and data integration concepts

Good-to-Have Skills:

  • Hands-on experience writing SQL using any RDBMS
  • Experience using cloud services such as AWS, 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)

Professional Certifications:

  • Databricks Certificate preferred
  • SAFe Practitioner Certificate preferred

Soft Skills:

  • Strong analytical abilities to assess and improve master data processes
  • Excellent verbal and written communication skills
  • Effective problem-solving skills to address data-related issues

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