Description:
Key Responsibilities: Assist in building and maintaining scalable data pipelines and ETL processes. Support the integration of data from various sources into data warehouses or data lakes. Collaborate with data scientists, analysts, and engineers to understand data requirements. Monitor data pipelines for failures and contribute to incident resolution. Write clean, efficient, and well-documented code (e.g., Python, SQL, or Scala). Help maintain data quality, integrity, and security standards. Pa
Apr 30, 2025;
from:
dice.com