Description:
Programming Proficiency: Strong expertise in Python, including libraries like Pandas, NumPy, and PySpark. Experience with Python frameworks such as Django or Flask. Data Engineering Tools: Proficiency in ETL (Extract, Transform, Load) processes. Familiarity with tools like Apache Airflow, Prefect, or Luigi for workflow orchestration. Big Data Technologies: Hands-on experience with Hadoop, Spark, or Kafka for handling large-scale data. Database Management: Knowledge of SQL and NoSQL databases (e.
Mar 18, 2025;
from:
dice.com