Python and AI Data Engineering Lead - Senior Vice President
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply system design and microservices architecture
- Build and deploy APIs for AI services
- Build data pipelines with Python
- Create technical documentation for ETL and pipelines
- Design and implement AI applications and agentic systems
- Develop ETL processes
- Develop scalable enterprise data solutions
- Extract, transform and load data
- Implement data quality checks
- Integrate Model Context Protocol into agentic AI systems
- Monitor data accuracy and consistency
- Optimize ETL for performance and scalability
- Troubleshoot data issues
- Write SQL queries and PL SQL scripts
Perks/Benefits
- N/A
Skills/Tech-stack
AI Engineering | API Design | API first | API-first design | Agile | Angular | Autogen | CI/CD | Chunking | Code review | CrewAI | Docker | ETL | Embedding | Event Driven | Event-driven architecture | FastAPI | Flask | Git | Google ADK | LLM | Langchain | Langraph | Language Models | Large Language Models | Machine Learning | Microservices | Model Context Protocol | MongoDB | N8n | Node.js | NumPy | OpenShift | Oracle | PL/SQL | Pandas | PostgreSQL | Prompt engineering | PySpark | PyTorch | Python | REST APIs | React | SQL | Scikit-learn | Spring Boot | Spring Cloud | Spring Security | System design | TensorFlow | Testing | TypeScript
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Python | Python Data Engineer
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