Data Engineer
Tasks
- Automate analytical tasks with LLM workflows
- Build ELT pipelines
- Build ETL pipelines
- Build RAG pipelines
- Build backend APIs
- Build evaluation frameworks
- Build retrieval pipelines
- Collaborate with investment teams to refine requirements
- Design knowledge graphs
- Develop data provenance systems
- Develop hybrid search
- Develop structured query systems
- Ensure production reliability
- Implement confidence scoring
- Ingest normalize and enrich datasets
- Maintain backend services
- Perform prompt engineering
- Track data lineage
Perks/Benefits
Skills/Tech-stack
API Development | Apache Spark | Backend Services | Data Lineage | Data Pipelines | Databricks | ELT | ETL | Evaluation | Graph Databases | Graph reasoning | Hybrid search | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Neo4j | Prompt engineering | Python | Retrieval-Augmented Generation | Structured Queries
Education
N/A
Roles
Backend | Backend Engineer | Data Engineer | Engineer | ML Engineer
Regions
Countries
States
Cities
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