Data Engineer 3

Responsibilities

• Design and construct data architectures and pipelines to standardize and transform data for business insights
• Guarantee data quality throughout ingestion, processing, and loading phases
• Engineer robust ingestion frameworks for various data types and monitor data quality
• Develop accessible methods for data consumption, including APIs, database views, and data extracts
• Implement data solutions across multiple platforms such as Kubernetes, Teradata, AWS, and Databricks
• Select appropriate storage platforms based on data sensitivity, privacy, and access requirements
• Master data lineage and apply transformation rules for effective change management
• Collaborate with cross-functional teams to refine data sourcing and processing efficiency

Requirements

• 5-7 years of relevant work experience
• Strong SQL proficiency
• Proficiency in programming languages, preferably Python
• Experience with distributed computing frameworks such as Apache Spark
• Experience with Cloud Data Warehouse management
• Knowledge of at least one cloud provider (AWS, GCP, or Azure)
• Familiarity with data pipeline design patterns and data observability

Preferred Qualifications

• Exposure to modern data stacks including dbt, Airflow, Snowflake, and Apache Spark
• Experience with Embedded Business Intelligence tools like Looker
• Exposure to data consumption challenges and solutions
• Bachelor's Degree in a related field

About the Company

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels.