Staff Engineer/Data Engineering
INR 2000K-4800K (estimate) Senior-level Full Time
Tasks
- Build RAG-architectures
- Collaborate with DevOps teams for deployment and maintenance
- Design build and maintain real time data streaming pipelines
- Develop data domains and data products
- Develop synthetic data workflows
- Ensure reliability scalability and availability of data systems
- Implement data and AI pipelines for structured semi structured and unstructured data
- Implement monitoring, alerting, and incident management
- Implement reliability engineering best practices
- Integrate semantic layer with AI and LLM platforms
- Lead data and AI engineering
- Lead data governance data quality lineage and catalog capture
- Mentor junior engineers and promote best practices
- Model knowledge graphs and integrate data sources
- Optimize graph database queries for reasoning and enrichment
- Provide low latency secure context rich data access
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Glue | AWS Kinesis | AWS Lambda | AWS OpenSearch | AWS Step Functions | Amazon EC2 | Amazon Neptune | Amazon S3 | Apache Kafka | Cypher | Data Architecture | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Quality | Data Warehouses | Data Warehousing | Data integration | Docker | ELT | ETL | Graph Databases | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RAG Pipelines | RDF | Retrieval-Augmented Generation | SPARQL | SQL | Snowflake | Spark Streaming | Step Functions | TensorFlow | Unstructured Data | Vector Databases
Education
Roles
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