Data Engineering(ETL+Python)

The Data Engineer/AI Engineer will build the data foundation powering autonomous operations. This role will develop scalable data pipelines, enable knowledge retrieval systems, support AI-powered decision making, and provide analytics driving automation outcomes. Technical Requirements: • Primary skills:Technology->ETL & Data Quality->ETL - Others,Technology->OpenSystem->Python - OpenSystem Responsibilities: Key Responsibilities Data Engineering Build and maintain operational data pipelines. Develop ETL/ELT solutions. Ingest data from enterprise operational systems. Design scalable data models. AI Data Enablement Build vector databases and semantic search capabilities. Develop RAG pipelines. Create operational knowledge repositories. Support AI agent context engineering. Analytics & Insights Perform root cause analysis. Create automation outcome dashboards. Build operational intelligence models. Develop KPI measurement frameworks. Data Governance Ensure data quality and lineage. Implement data security controls. Support compliance and audit requirements. Required Skills Data Technologies Python SQL Data Modeling AI Technologies Vector Databases LangChain LangGraph Knowledge Graphs Semantic Search Cloud AWS Data Services S3 Glue Visualization Power BI Tableau Preferred Skills: Technology->ETL & Data Quality->ETL - Others,Technology->OpenSystem->Python - OpenSystem->Python