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
Deliverable
production ML models | product features | dashboards & analysis
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
