IND - Senior Staff Engineer, Data
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build data and AI pipelines for structured semi structured unstructured data
- Collaborate with cross-functional teams to deploy solutions
- Design and develop data domains and data products
- Design real-time data streaming pipelines
- Develop synthetic data generation workflows
- Ensure reliability availability scalability of data pipelines
- Implement data governance, data quality, and lineage
- Implement graph database solutions and optimize queries
- Implement retrieval-augmented generation pipelines
- Integrate semantic layer with real time analytics
- Integrate semantic layers with AI and LLM platforms
- Mentor junior engineers and lead communities of practice
- Perform monitoring alerting and incident management
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Kinesis | AWS Lambda | AWS Step Functions | Airflow | Amazon EC2 | Amazon Neptune | Amazon OpenSearch | Amazon S3 | Apache Kafka | CI/CD | Chunking | Cypher | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Quality | Data Warehouse | Datadomain Modeling | Disaster Recovery | Disaster Recovery Planning | Disaster Recovery Strategy | Docker | DynamoDB | ELT | ETL | Elasticsearch | Embeddings | Entity Relationship Modeling | Entity relationship | Graph Database | Grounding | Incident Management | Knowledge graph | Kubernetes | Langchain | Langgraph | MongoDB | Monitoring | Neo4j | NoSQL | Prompt engineering | PyTorch | Python | RAG | RDF | Recovery Planning | Recovery strategy | Relationship Modeling | Retrieval-Augmented Generation | SPARQL | SQL | Semantic layer | Snowflake | Spark | Spark Streaming | Step Functions | TensorFlow | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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