Description:
Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines to support data processing and analytics. Automate data ingestion and transformation workflows using APIs, scripting, and orchestration tools. Implement automated health checks, data quality validation, and pipeline monitoring frameworks. Utilize technologies such as Python, SQL, Snowflake SQL, and Databricks for data engineering and analysis. Develop and maintain comprehensive documentation, including: Architectural and
Oct 6, 2025;
from:
dice.com