Description:
Data / AI Engineer Must Have: Python, SQL, Spark, Databricks, Cloud (Azure), Jenkins/Airflow, FastAPI, Langgraph, Langchain, MCP, Java, Scala, OpenAI Nice to have: UI experience with ReactJS, AKS, Docker Develop and manage scalable data pipelines. Integrate data from multiple sources, ensuring consistency and reliability. Build and deploy ETL process flows. Understand data quality, validation, and privacy procedures. Create and maintain clear documentation for data flows, systems, and processes.
Dec 5, 2025;
from:
dice.com