Tech Stack

Description

As a Senior Data Engineer at Roku, you will design data models and build scalable data pipelines to capture business metrics across Roku Devices, processing terabytes of data daily. You'll own data transformations, optimize for quality, and participate in architecture discussions.

Requirements

• Extensive SQL skills
• Proficiency in Python
• Experience with big data technologies: HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto
• Proficiency in data modeling (conceptual, logical, physical)
• 8+ years professional experience as a data engineer

Responsibilities

• Build scalable, fault-tolerant distributed data processing systems (batch and streaming)
• Refine diverse datasets into simplified data models encouraging self-service
• Build data pipelines that optimize data quality and are resilient to poor quality sources
• Own data mapping, business logic, transformations, and data quality
• Low-level systems debugging, performance measurement, and optimization on large production clusters