IND - Senior Staff Engineer, Data
India GCC-Puppalaguda Village
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build data and AI pipelines for structured semi structured and unstructured data
- Collaborate with DevOps and infrastructure teams for deployments and operations
- Design build and maintain real time data streaming pipelines
- Design data domains and data products for reporting analytics and AI
- Develop synthetic data generation and validation workflows
- Ensure reliability availability and scalability using monitoring alerting and incident management
- Implement Retrieval-Augmented Generation (RAG) architectures
- Implement redundancy fault tolerance and disaster recovery strategies
- Implement semantic layer and dynamic query translation for real time insights
- Improve data engineering productivity using automation and advanced DevOps
- Integrate RAG pipelines with enterprise data infrastructure
- Integrate semantic layers with AI and LLM platforms for secure low latency access
- Lead data and AI engineering for complex data ecosystems
- Mentor junior engineers and lead communities of practice
- Model entities relationships and business logic in knowledge graphs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS EC2 | AWS Kinesis | AWS Lambda | AWS S3 | Alerting | Amazon Neptune | Apache Kafka | Azure | CI/CD | Cypher | Data Catalog | Data Governance | Data Lineage | Data Quality | Disaster Recovery | Docker | ELT | ETL | GenAI | Google Cloud | Graph Databases | Incident Management | Kubernetes | LLM | Langchain | Langgraph | Monitoring | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RDF | Retrieval-Augmented Generation | SPARQL | SQL | Semantic layer | Snowflake | Spark Streaming | TensorFlow | Vector Databases
Education
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