IND - Senior Staff Engineer, Data
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply reliability engineering with redundancy fault tolerance disaster recovery
- Build Retrieval-Augmented Generation architectures
- Collaborate with DevOps for deployment operations and maintenance
- Design and optimize knowledge graphs and graph database queries
- Design build and maintain real time data streaming pipelines
- Design data domains and data products
- Ensure reliability availability and scalability with monitoring and incident management
- Generate synthetic data for rare events and edge cases
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement data governance data quality lineage and cataloging
- Implement semantic layer for real time insights
- Integrate RAG with enterprise data infrastructure
- Integrate semantic layer with AI and LLM platforms
- Lead data and AI engineering for large data ecosystems
- Mentor junior engineers and lead communities of practice
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Kinesis | AWS Lambda | Amazon EC2 | Amazon Neptune | Amazon S3 | Apache Kafka | Business Intelligence | CI/CD | Chunking | Cypher | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data integration | Disaster Recovery | Docker | DynamoDB | ELT | ETL | Embedding | Fault Tolerance | Google Vertex | Google Vertex AI | Graph Databases | Grounding | Incident Management | Kubernetes | Langchain | Langgraph | MongoDB | Monitoring and Alerting | Neo4j | NoSQL | OpenSearch | Prompt engineering | PyTorch | Python | RAG Pipelines | RDF | Retrieval-Augmented Generation | SPARQL | SQL | Snowflake | Spark Streaming | Synthetic data | TensorFlow | Vector Database | Vertex AI
Education
Roles
Data Engineer | Engineer | Senior Staff Engineer | Staff Engineer
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