Design, build, and maintain scalable data pipelines for conversational analytics.
Develop semantic layers, mappings, and data structures for AI taxonomies and KPIs.
Model and transform data for query generation and insights.
Collaborate with AI and software teams to support LLM workflows and governed access.
Implement ingestion, transformation, and data quality processes.
Support live-query and cached data access patterns per architecture and performance needs.

🎯 Requirements

4+ years in Data Engineering, preferably cloud-based analytics.
Strong SQL and Python for data processing and transformation.
Experience building scalable data pipelines for large datasets.
Strong data modelling, semantic layer design, and analytical data structures.
GCP services (BigQuery, Pub/Sub, Cloud Run, Vertex AI) and Databricks.
Experience supporting AI/ML/LLM use cases via data prep and retrieval optimization.

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