Data & GenAI Engineer
Tasks
- Build Spark transformations with performance tuning
- Build and deploy REST APIs
- Build batch and streaming data pipelines
- Define evaluation metrics for retrieval quality latency and hallucinations
- Design and improve production RAG systems
- Design and own ETL ELT pipelines
- Develop backend microservices for data and AI capabilities
- Handle schema evolution incremental loads and idempotency
- Implement authentication API gateway and service orchestration
- Implement medallion architecture and data contracts
- Implement vector search ingestion chunking and embeddings
- Integrate backend APIs with frontend applications
- Optimize prompt templates for grounding and structured outputs
- Perform data validation monitoring lineage observability
Perks/Benefits
- N/A
Skills/Tech-stack
Angular | Apache Spark | CI/CD | Data Lineage | Data Validation | Databricks | Delta Lake | Docker | ELT | ETL | Embeddings | FastAPI | Git | Hybrid search | Idempotency | Logging | Microservices | Monitoring | Prompt engineering | Prompt templates | Python | RAG | REST APIs | React | Retrieval-Augmented Generation | SQL | Schema evolution | System design | Vector Search
Education
N/A
Roles
Backend | Backend Developer | Data Engineer | Developer | Engineer | GenAI Engineer
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