Data Engineer 3 - Virtual
Core
Architect, design, and build high-performance, scalable data pipelines and robust data lake architectures on AWS to support large-scale data processing and self-service analytics.
Role type
Senior Data Engineer (Cloud/Big Data)
Builds
Large-scale batch ETL systems, data lake architectures (Delta Lake, Apache Iceberg), and semantic layers for customer-facing analytics.
Domain
Media Advertising Technology / Cloud Data Engineering
Required skills
Python, PySpark, SQL, AWS, Databricks, Delta Live Tables, Data Warehouse modeling, Kubernetes, Teradata, Data Quality, Data Lineage
Preferred skills
Databricks Certified Data Engineer Associate, SnowPro Advanced: Data Engineer, AWS Certified Developer Associate, Looker, Tab
Technologies
AWS, Databricks, Delta Lake, Apache Iceberg, Kubernetes, Teradata, Snowflake, Looker, Tab
Responsibilities
Architect and build scalable data pipelines; Develop complex Big Data ETL workflows using Databricks DLT; Design and implement data lake architectures; Lead observability, monitoring, and metadata management; Produce high-quality documentation and ensure comprehensive code coverage; Own critical components of large-scale batch ETL systems.
Seniority
Senior, hands-on IC