IND - Senior Staff Engineer, Data
India GCC-Puppalaguda Village
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build knowledge graphs and integrate multi source data
- Collaborate with DevOps and infrastructure teams for deployments
- Design and develop data domains and data products
- Design and implement semantic layer with real time analytics
- Design build and maintain real time data streaming pipelines
- Develop and validate synthetic data for agent evaluation
- Ensure reliability availability scalability through monitoring alerting and incident management
- Implement Retrieval-Augmented Generation architectures
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement redundancy fault tolerance and disaster recovery
- Improve AI driven data engineering productivity and automation
- Integrate semantic layers with AI and LLM platforms
- Lead data and AI engineering for complex data ecosystems
- Mentor junior engineers and lead communities of practice
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Kinesis | AWS Lambda | AWS Step Functions | Amazon EC2 | Amazon Neptune | Amazon S3 | Apache Kafka | Cypher | Data Catalog | Data Governance | Data Lineage | Data Quality | Docker | DynamoDB | ELT | ETL | Graph Databases | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MongoDB | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Retrieval-Augmented Generation | SPARQL | SQL | Snowflake | Spark Streaming | Step Functions | TensorFlow | Vector Databases
Education
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