Data Engineering(ETLPython)

Job Description:

• •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
• Skills: glue , Data Modeling, Etl, Power Bi, S3, Data Quality, Sql, semantic search, Tableau, ELT, Python

Experience: 0.00-0.00 Years