IND - Senior Staff Engineer, Data
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply GenAI solutions to insurance data use cases
- Collaborate with DevOps and infrastructure teams
- Design and implement graph database solutions
- Design build and maintain real time data streaming pipelines
- Design develop data products and data domains
- Design implement semantic layer with real time analytics
- Develop and optimize graph database queries
- Develop synthetic data generation workflows
- Ensure data pipeline reliability monitoring and incident management
- Implement Retrieval-Augmented Generation architectures
- Implement data and AI pipelines for structured semi structured unstructured data
- Implement reliability engineering redundancy fault tolerance disaster recovery
- Integrate RAG with enterprise data infrastructure
- Integrate semantic layer with AI and LLM platforms
- Integrate solutions into operational processes
- Lead data and AI engineering
- Mentor junior team members and lead communities of practice
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | AWS Step Functions | Amazon DynamoDB | Amazon EC2 | Amazon Kinesis | Amazon Neptune | Amazon S3 | Apache Airflow | Apache Cassandra | Apache Kafka | Apache Spark | Apache Spark Streaming | CICD | Chunking | Containerization | Cypher | Data Architecture | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data domains | Data integration | Docker | ELT | ETL | Embedding | Graph Databases | Grounding | Knowledge graphs | Kubernetes | Langchain | Langgraph | MongoDB | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Real Time | Real-time analytics | Retrieval-Augmented Generation | SPARQL | SQL | Semantic Modeling | Semantic layer | Snowflake | Spark Streaming | Step Functions | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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