Description:
ResponsibilitiesContribute to the design and growth of data products and systems supporting analytics and audience engagement initiatives. Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid). Work with a tech stack that includes Hadoop, AWS, Snowflake, Spark, and Airflow; languages include Python and Scala. Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts.
Sep 22, 2025;
from:
dice.com