IND - Senior Engineer, Data
INR 2000K-2800K (estimate) Senior-level Full Time
Tasks
- Build real-time data streaming pipelines
- Collaborate with DevOps teams for deployment operation and maintenance
- Develop AI-driven data systems
- Develop data domains and data products
- Develop graph database solutions for complex relationships
- Ensure data pipeline reliability availability and scalability
- Implement AI data pipelines
- Implement Retrieval-Augmented Generation architectures
- Implement monitoring, alerting, and incident management
- Implement scalable semantic layer with dynamic query translation
- 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 | Amazon EC2 | Amazon Kinesis | Amazon Neptune | Amazon S3 | Apache Kafka | Azure | Big Data | CI/CD | Data Lake | Data fabric | DataMesh | DocumentDB | Dynamic Query | Dynamic Query Translation | DynamoDB | ELT | ETL | GCP | Graph Database | Knowledge graph | Langchain | Langgraph | Language Models | Large Language Models | MongoDB | Neo4j | NoSQL | OpenSearch | Prompt engineering | PyTorch | Python | Query translation | RAG | RDF | Retrieval-Augmented Generation | SQL | Semantic layer | Snowflake | Spanner | Spark | Spark Streaming | TensorFlow | Vector Database | Vertex AI
Education
Roles
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