IND - Senior Staff Engineer, Data
India GCC-Puppalaguda Village
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply data governance including data quality and lineage
- Apply redundancy fault tolerance and disaster recovery strategies
- Build semantic layer for dynamic query translation and real time analytics
- Collaborate with DevOps and infrastructure teams for deployment and operations
- Create knowledge graphs with entity relationship modeling
- Design and develop data products and data domains
- Design and implement graph database solutions and optimize queries
- Design build and maintain real time data streaming pipelines
- Ensure reliability availability scalability with monitoring alerting and incident management
- Generate and validate synthetic data for rare events
- Implement GenAI solutions for insurance data use cases
- Implement Retrieval-Augmented Generation architectures
- Implement data and AI pipelines for structured semi structured and unstructured data
- Integrate semantic layer with AI and LLM platforms
- Lead data and AI engineering for large complex data ecosystem
- Mentor junior engineers and lead communities of practice
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Kinesis | Alerting | Amazon Kinesis | Amazon Neptune | Apache Kafka | Business Intelligence | CI/CD | Chunking | Cloud platform | Cypher | Data Architecture | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data Warehouse | Data integration | Disaster Recovery | Docker | ELT | ETL | Embedding Models | Embeddings | Google Cloud | Google Cloud Platform | Graph Databases | Grounding | Incident Management | Kubernetes | Langchain | Langgraph | Microsoft Azure | Monitoring | Neo4j | NoSQL | Prompt engineering | PySpark | PyTorch | Python | RAG | RDF | Retrieval-Augmented Generation | SPARQL | SQL | Semantic layer | Snowflake | Spark Streaming | Synthetic data | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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