IND - Senior Staff Engineer, Data
India GCC-Puppalaguda Village
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply redundancy fault tolerance and disaster recovery
- Build data domains and data products
- Build graph database solutions and optimize queries
- Collaborate with cross functional teams for operational integration
- Create knowledge graphs and semantic models
- Design real-time data streaming pipelines
- Develop GenAI solutions for domain use cases
- Develop Retrieval-Augmented Generation architectures
- Ensure reliability availability and scalability of data pipelines
- Generate synthetic data for evaluation and testing
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement monitoring, alerting, and incident management
- Implement semantic layer and dynamic query translation
- Integrate semantic layer with AI and LLM platforms
- Mentor junior engineers and lead communities of practice
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Kinesis | AWS Lambda | AWS OpenSearch | Amazon EC2 | Amazon Kinesis | Amazon Neptune | Amazon S3 | Apache Kafka | Apache Spark | Azure | CI/CD | Chunking | Cloud platform | Data Architecture | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Quality | Data Warehouse | Data integration | Databricks | Docker | ELT | ETL | Embedding | Google Cloud | Google Cloud Platform | Graph Databases | Grounding | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Neo4j | NoSQL | Prompt engineering | PySpark | PyTorch | Python | RAG | RDF | Real Time | Real-time analytics | Retrieval-Augmented Generation | SPARQL | SQL | Semantic layer | Snowflake | Spark Streaming | Synthetic data | TensorFlow | Vector Databases
Education
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