Data Engineering(ETL+Python)

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

Additional Responsibilities:

Preferred Experience 5+ years data engineering experience AI/ML project experience Experience building RAG solutions Data observability tools

Technical and Professional Requirements:

Primary skills:Technology- ETL & Data Quality- ETL - Others,Technology- OpenSystem- Python - OpenSystem