Data Engineering(ETL+Python)

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