Staff Engineer/Data Engineering
INR 2000K-4800K (estimate) Senior-level Full Time
Tasks
- Apply data governance data quality lineage and catalog
- Collaborate with cross functional teams and DevOps for deployment and operations
- Design build and maintain real time data streaming pipelines
- Design prototypes and conduct experiments for GenAI solutions
- Develop graph database solutions and optimize queries
- Develop knowledge graph models and integrate multiple sources
- Ensure reliability availability and scalability of data pipelines
- Generate and validate synthetic data
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement monitoring, alerting, and incident management
- Implement retrieval-augmented generation pipelines
- Integrate semantic layer for real time analytics
- Integrate semantic layer with AI and LLM platforms
- Lead data and AI engineering
- Mentor junior engineers and promote reusable patterns
- Preprocess extract chunk embed and ground data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Kinesis | AWS Lambda | Alerting | Amazon EC2 | Amazon Neptune | Amazon S3 | Apache Kafka | Azure | CI/CD | Chunking | Containerization | Cypher | Data Architecture | Data Catalog | Data Engineering | Data Governance | Data Lakes | Data Lakeshouse | Data Lineage | Data Pipelines | Data Preprocessing | Data Quality | Data Warehousing | Data integration | DevOps | Disaster Recovery | Docker | ELT | ETL | Embeddings | Fault Tolerance | GCP | Graph Databases | Incident Management | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Monitoring | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Real Time | Real-time analytics | Redundancy | 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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