Apply with hirly
Data Engineering(ETLPython)
Infosys Limited · Hyderabad, Telangana, India
Upload your resume to see how well you match this job — free, in seconds, no account needed.
Your resume is used only to score it against this job. If you don't create an account, it is deleted within 24 hours.
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