IND - Senior Staff Engineer, Data
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply reliability engineering fault tolerance redundancy and disaster recovery
- Collaborate with DevOps for deployment and operations
- Create knowledge graphs and semantic models
- Design build and maintain real time streaming pipelines
- Develop data domains and data products
- Ensure monitoring alerting and incident management
- Generate and validate synthetic data
- Implement Retrieval-Augmented Generation architectures
- Implement data and AI pipelines for structured and unstructured data
- Integrate semantic layer for real time analytics
- Integrate semantic layer with LLM platforms
- Lead data and AI engineering
- Mentor junior engineers and lead communities of practice
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon EC2 | Amazon Kinesis | Amazon Neptune | Amazon S3 | Apache Kafka | CI/CD | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Quality | Data Warehouses | Disaster Recovery | Docker | ELT | ETL | Embedding | Fault Tolerance | Graph Databases | Incident Management | Kubernetes | Langchain | Langgraph | Monitoring and Alerting | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Retrieval | SPARQL | SQL | Semantic layer | Snowflake | Spark Streaming | TensorFlow | Vector Databases
Education
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