Description

Preferred Experience
Experience building data pipelines for LLM applications or RAG (Retrieval Augmented Generation) systems
Familiarity with financial data sources (market data, fundamental data, alternative data)
Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)
Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse)
Experience with containerization (Docker) and orchestration (Kubernetes)
Understanding of MLOps practices and tools
Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field
Strong problem-solving skills and attention to detail

Key Skills

Education

Any Graduate