IND - Senior Engineer, Data
India GCC-Puppalaguda Village
INR 2000K-2800K (estimate) Senior-level Full Time
Tasks
- Build real-time data streaming pipelines
- Build semantic layer with dynamic query translation
- Collaborate with DevOps for deployment operation and maintenance
- Deliver real time insights for conversational analytics
- Develop AI-driven data systems
- Develop data domains and data products
- Develop graph database solutions for complex relationships
- Ensure reliability availability scalability of data pipelines
- Implement AI data pipelines
- Implement RAG architectures
- Implement monitoring, alerting, incident management
- Integrate RAG with enterprise data infrastructure
- Model entities relationships and business logic in knowledge graphs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | Agile | Alerting | Amazon EC2 | Amazon Kinesis | Amazon Neptune | Amazon S3 | Apache Kafka | Big Data | CICD | Chunking | Cloud Platforms | Data Lake | Data fabric | Data mesh | DataMesh | ELT | ETL | Embedding | Google Cloud | Graph Databases | Grounding | Incident Management | Information Extraction | Knowledge graphs | Langchain | Langgraph | Language Models | Large Language Models | Microsoft Azure | Monitoring | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Real Time | Real-time Streaming | Retrieval-Augmented Generation | SQL | Semantic layer | Snowflake | Spark Streaming | TensorFlow | Vector Databases
Education
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