Senior Data Engineer
Tasks
- Apply machine learning retrieval augmented generation pipelines
- Build async task processing
- Build data pipelines
- Build user facing analytics applications
- Design data pipelines
- Develop APIs
- Develop backend services
- Develop orchestration workflows
- Implement data observability and tracing
- Implement graph database queries
- Implement vector database features
- Maintain data pipelines
- Operationalize data for decision making
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Apache Airflow | Asynchronous programming | Celery | Cypher | DBT | Dagster | Data Modeling | Data Visualization | Docker | Dockerfile | DuckDB | Embedding | FastAPI | Graph Databases | Graph traversal | Great Expectations | Gremlin | Hybrid search | Kafka | LLM | LLM retrieval | Machine Learning | Milvus | Neo4j | Node.js | OpenTelemetry | PGVector | Pinecone | PostgreSQL | Prefect | Prometheus | Python | Qdrant | RAG | Redis | SQL | Semantic Search | Snowflake | Tableau | TigerGraph | Vector Databases
Education
Roles
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