:

- 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

Key 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

Technical Requirements:

- Primary skills Technology ETL Data Quality ETL Others Technology OpenSystem Python OpenSystem

Additional Responsibilities:

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

Preferred Skills:

Technology->ETL & Data Quality->ETL - Others,Technology->OpenSystem->Python - OpenSystem->Python

📌 Data Engineering(ETL+Python) (Secunderabad)
🏢 Infosys
📍 Secunderabad