Description:
Strong knowledge of data engineering to build and support both batch and real-time data systems Build reliable data pipelines that run smoothly and recover from failures Design and maintain data workflows that process large amounts of data Lead and guide data engineering projects and provide technical support to teams Strong experience with Apache Spark (PySpark) and Databricks Hands-on experience building data pipelines in Microsoft Azure Experience using ADF (Azure Data Factory) or Airflow for
Jan 15, 2026;
from:
dice.com