IND - Staff Engineer, Data
India GCC-Puppalaguda Village
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Collaborate with DevOps and infrastructure teams for deployment and operations
- Design build and maintain real time data streaming pipelines
- Develop data domains and data products for reporting data science analytics and AI
- Ensure reliability availability and scalability with monitoring alerting and incident management
- Generate and validate synthetic data for rare events and edge cases
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement reliability engineering with redundancy fault tolerance and disaster recovery
- Implement retrieval augmented generation architectures and integrate with enterprise data infrastructure
- Implement semantic layer with dynamic query translation for real time analytics
- Integrate semantic layer with AI and LLM platforms for low latency secure access
- Lead data and AI engineering for large data ecosystems
- Mentor junior team members and promote reusable patterns
- Model knowledge graphs and integrate data with canonical representation
- Preprocess data with extraction chunking embedding and grounding
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | Amazon EC2 | Amazon Kinesis | Amazon Neptune | Amazon OpenSearch | Amazon S3 | Apache Kafka | Big Data | CI/CD | Containerization | Data Catalog | Data Governance | Data Lake | Data Lakehouse | Data Lineage | Data Quality | Data Vault | Data Warehouse | Databricks | Disaster Recovery | Docker | DynamoDB | ELT | ETL | Embeddings | Google Cloud | Graph Databases | Incident Management | Knowledge graphs | Kubernetes | Langchain | Langgraph | Microsoft Azure | MongoDB | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Retrieval-Augmented Generation | SPARQL | SQL | Semantic layer | Snowflake | Spark Streaming | Synthetic data | TensorFlow | Unstructured Data | Vector Databases
Education
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