Data Engineer 4

Responsibilities

• Design, develop, and optimize scalable data pipelines to ingest, process, and transform data from various sources.
• Implement ETL/ELT workflows using modern orchestration tools such as Airflow and Spark Jobs.
• Create ingestion frameworks for structured and unstructured data, implementing quality checks and reporting mechanisms.
• Ensure data quality, security, and integrity across all stages of data processing and storage.
• Implement data solutions on platforms including Kubernetes, Teradata, and Databricks.
• Mentor junior data engineers to foster skill development and knowledge sharing within the team.
• Collaborate with product, engineering, and analytics teams to deliver strategic data solutions.

Requirements

• 8 to 12 years of professional experience in data engineering.
• 5+ years of hands-on experience with SQL, ETL, and building data pipelines.
• Extensive experience with GCP (BigQuery, DAG) and CI/CD processes.
• Proficiency with Scala and Spark.
• Experience working with Customer Data Platforms (CDP).

Preferred Qualifications

• Bachelor's Degree in a relevant field.
• Experience with modern orchestration tools and cloud-native data architectures.

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 provide career opportunities across a wide range of disciplines.