Job Description

Job Description:

Key Responsibilities

• Business Term and Definition Engineering
• Review strategic process inventory SPI PDFs business documents data dictionaries and metadata extracts to identify business terms and domain concepts
• Define clear business definitions for terms used by SPI users
• Identify synonyms abbreviations alternate names and commonly used phrases for each business term
• Distinguish between similar or overloaded terms that may map to different database structures depending on business context
• Maintain terminology consistency across the semantic layer and knowledge base repository

Oracle Metadata Analysis

• Use Toad and Oracle metadata extracts to understand available schemas tables columns keys and relationships
• Analyze physical data structures and determine which tables and columns support each business term
• Identify candidate joins filters dimensions measures and identifiers needed to answer common SPI questions
• Work with the Data Architect to validate table relationships materialized views and performanceoptimized access paths

Term to Data Mapping

• Create mappings from business terms to Oracle tables columns views and materialized views
• Ensure mappings are precise enough to support naturallanguagetoSQL generation
• Identify gaps where business terms lack clear physical data mappings

Semantic Layer Buildout

• Support creation of the Talk to SPI semantic layer by organizing terms entities attributes metrics relationships and rules
• Document basic relationships between business entities and database entities
• Define earlystage business rules where required such as calculation logic filtering rules eligibility rules or default interpretation rules
• Collaborate with the AI Context Engineer to publish validated mappings into the Knowledge Base Repository
• Collaborate with the AI Platform Engineer to test whether published mappings are correctly consumed by the GenAI platform

Validation and Testing

• Test sample naturallanguage questions against expected table and column mappings
• Validate whether generated SQL uses the correct SPI structures
• Document mapping issues ambiguous terms missing metadata and required SME clarifications
• Support iterative improvements based on testing SME feedback and GenAI query results

Primary Skill Oracle SQL PLSQL

Secondary Skill Data modelling and architecture

Tertiary Skill Python

Required Qualifications

• 4 years in data engineering metadata engineering semantic layer development data analysis or business data mapping
• Handson experience working with Oracle database metadata
• Experience connecting business terminology to physical database structures
• Experience working with business documentation PDFs data dictionaries and technical metadata
• Exposure to naturallanguagetoSQL semantic modeling or AI context engineering is strongly preferred

Programming Query Languages

• Strong SQL especially Oracle SQL
• Intermediate Python for metadata parsing document processing mapping automation and validation
• Working knowledge of YAML JSON for structured semantic and mapping artifacts
• Basic Markdown for documentation
• Optional familiarity with regular expressions for text extraction and term matching

Systems Tools

• Oracle Database
• Toad for Oracle
• Python libraries for metadata and document processing
• Git or source control for managing mappings
• Excel or CSV for earlystage mapping inventories
• Knowledge base repository or semantic layer repository

Desired Qualifications

• Experience with enterprise process management systems POP ARISSDAR
• Exposure to GenAI platforms and LLMbased enterprise solutions
• Knowledge of regulatory and compliancedriven data environments

Experience with data catalog tools vector search graph database or RAG tooling

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