Senior Data Engineer

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Skills you'll use

What you'll do

• Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
• Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
• Build data pipelines that optimise on data quality and are resilient to poor quality data sources
• Own the data mapping, business logic, transformations and data quality
• Low level systems debugging, performance measurement & optimization on large production clusters
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
• Maintain and support existing platforms and evolve to newer technology stacks and architectures
• Extensive SQL Skills

Who can apply

• Proficiency in at least one scripting language, Python is required
• Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
• Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures .
• Experience with AWS, GCP, Looker is a plus
• Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
• 8+ years professional experience as a data Engineer
• BS in Computer Science; MS in Computer Science preferred
• AI Literacy / AI growth mindset

About Roku

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