Data Engineer 2

Responsibilities

• Develop and optimize data structures and pipelines to collect, standardize, and transform data for reporting and insight generation.
• Ensure high data quality throughout the ingestion, processing, and loading stages.
• Create ingestion frameworks for various data types and establish methods for data consumption via views, extracts, and APIs.
• Maintain data warehouses and lakes, managing solutions on platforms such as Kubernetes, Teradata, and Databricks.
• Determine appropriate storage solutions across on-prem and cloud environments (AWS S3, Redshift) based on data sensitivity.
• Design and monitor ETL processes to support efficient data flow and collaborate with analytics teams for model deployments.
• Participate in code reviews and contribute to data governance and compliance efforts.

Requirements

• 2.5 to 4.5 years of professional experience in Data Engineering.
• Proficiency in Python and SQL.
• Strong experience with ETL processes and data pipeline development.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Adobe Real Time CDP.
• Bachelor's Degree in a relevant field (or equivalent professional experience).

About the Company

Comcast brings together the best in media and technology, driving innovation to create world-class entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative businesses and create career opportunities across a wide range of disciplines.