Data Engineering Consultant - Python, SQL, ETL, AWS/Azure
INR 2500K-3500K (estimate) Senior-level Full Time
Tasks
- Build automated CI/CD pipelines
- Build production backend services for data workflows
- Collaborate to deliver AI driven automation opportunities
- Deploy and operate data systems on cloud
- Design and build data pipelines
- Develop and deploy AI agents and LLM workflows
- Develop data ingestion and transformation systems
- Develop data services and APIs
- Ensure high availability low latency and resilience
- Implement RAG for data enrichment
- Implement data models and storage patterns
- Implement error handling retries monitoring and alerting
- Implement infrastructure-as-code
- Maintain fault tolerant data platforms
- Mentor junior engineers
- Monitor and optimize AI agent performance reliability and governance
- Optimize cloud resources for performance cost and efficiency
- Participate in system design reviews
- Schedule and monitor workflow orchestration
- Troubleshoot performance, scalability, and reliability issues
- Write clean, maintainable, and well-tested code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Azure | CI/CD | Cloud Native | Data Modeling | Data Pipelines | Data Warehouse | Docker | ELT | ETL | Error Handling | Git | Infrastructure as Code | LLM integration | Language Models | Large Language Models | Monitoring | Prompt engineering | Python | RAG | Relational databases | Retries | SQL | Shell | Step Functions | Terraform | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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