Develop and govern the semanticmodel in Google Looker as the single source of truth for standardized businessmetrics, dimensions, and reporting definitions.
Source Integration and Incremental Processing: Implement reliable ingestion from databases, files, APIs and event streams using full-load, incremental, change-data-capture and replayable processing patterns appropriate to each source.
Participate in creating and promoting database design standards (naming conventions, indexes, comments, table structures, etc.) to improve development consistency.
Integrate data from multiple sources into centralized platforms for analytics and reporting, including API data integration to EDL pipelines with Internal and External applications
Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains
Data Quality and Contracts: Establish schema enforcement, data contracts, automated validation, reconciliation and anomaly checks covering completeness, validity, consistency, uniqueness, timeliness and referential integrity.
We are seeking a AI & Data Engineer to join the AM CoE's Market Intelligence team. The AI & Data Engineer will design, build, and maintain AI and data tools that support the team's research and analysis, help automate the production of intelligence deliverables, and power AI features on the team's digital platform. The role works closely with technical experts to ensure outputs are accurate and reliable.
Responsible in developing frontend dashboards and integration to back end. Using frontend and backend API Frameworks such as React, Angular Django, FastAPI, Springboot