Description:
Data Engineer are primarily responsible for developing, optimizing, and maintaining large-scale data pipelines, ETL workflows, and data transformations within cloud environments (AWS, Azure, Google Cloud Platform) and Databricks. Roles typically require 3 - 10 years of experience in Python, PySpark, Spark SQL, and cloud storage. Job description:Python, Pyspark,Databricks, AWS cloud architecture,- Previous experience as a data engineer or in a similar role- Must have experience with AWS Python, P
Feb 26, 2026;
from:
dice.com