IND - Senior Staff Engineer, Data
India GCC-Puppalaguda Village
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply reliability engineering practices including redundancy fault tolerance and disaster recovery
- Build retrieval augmented generation RAG architectures and integrate with enterprise data infrastructure
- Collaborate with DevOps and infrastructure teams for deployment and maintenance
- Create knowledge graphs and model domain entities relationships and business logic
- Design and develop data domains and data products for reporting data science and analytics
- Design build and maintain real time data streaming pipelines
- Ensure reliability availability and scalability using monitoring alerting and incident management
- Generate and validate synthetic data workflows for agent evaluation
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement semantic layers with dynamic query translation for real time insights
- Integrate semantic layers with AI and LLM platforms for low latency data access
- Lead data and AI engineering for large complex data ecosystems
- Mentor junior team members 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 | Cypher | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Products | Data Quality | Data Warehouse | Data Warehousing | Data domains | Data fabric | Data integration | Data mesh | Docker | ELT | ETL | Graph Database | Knowledge graphs | Kubernetes | Langchain | Langgraph | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RDF | Real Time | Real-time analytics | Retrieval-Augmented Generation | SPARQL | SQL | Semantic Modeling | Semantic layer | Snowflake | Spark Streaming | Synthetic data | TensorFlow | Vector Databases
Education
Roles
Data Engineer | Engineer | Senior Staff Engineer | Staff Engineer
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