Senior Data Engineer (Python, Spark)

Join Roku's Data Engineering team as a Senior Data Engineer. In this role, you will design data models and build scalable pipelines to capture business metrics across various platforms. You will work on highly scalable, fault-tolerant distributed data processing systems and develop robust data solutions. You will also take part in architecture discussions, influence the product roadmap, and maintain and evolve existing platforms. Benefits include medical, wellness, and financial benefits, unlimited paid time off, and work from home opportunities.

• Concevoir des modèles de données et construire des pipelines évolutifs pour capturer les métriques commerciales.
• Développer des systèmes de traitement de données distribués hautement évolutifs et tolérants aux pannes.
• Participer aux discussions sur l'architecture, influencer la feuille de route du produit et posséder de nouvelles initiatives.
• Solid background in data modelling, including the design, implementation and optimisation of conceptual, logical, and physical models for scalable architectures
• Experience with AWS, GCP, or Looker (advantageous but not essential)
• Proficiency in at least one object-oriented language
• Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto
• Strong SQL skills
• A degree in Computer Science (BS required; MS preferred)
• Proficiency in at least one scripting language — Python is required