Engineer 3, Data Engineering
Comcast CorporationMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize large-scale data pipelines and ETL/ELT frameworks using Python, PySpark, Apache Spark, and AWS cloud services.
Implement and manage data governance including data quality frameworks, metadata management, data lineage, and compliance with privacy and regulatory standards.
Collaborate with cross-functional teams to drive data governance adoption, resolve complex data issues, mentor junior engineers, and contribute to operational excellence.
Minimum Requirements
4.5 to 7.5 years of experience in Data Engineering, Data Platform Engineering, or related fields.
Strong hands-on skills in Python, PySpark/Apache Spark, SQL development, and AWS data platform services (S3, Glue, Athena, Redshift, Lambda).
Practical experience implementing Data Governance, Metadata Management, Data Cataloging, Data Lineage, and Data Stewardship.
Bachelor's Degree preferred; work experience considered; Work Experience Required: 5-7 years as explicitly mentioned in education section.
Ideal Candidate Profile
Experienced in building scalable cloud-based data platforms and working with modern Data Architecture, Data Warehousing, and Lakehouse concepts.
Able to lead governance initiatives by defining standards, controls, and reusable frameworks while collaborating effectively with diverse teams and stakeholders.
Comfortable handling complex data quality, compliance, and operational issues independently, with some mentoring and review responsibilities.