Senior Data Engineer

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What you'll be doing Develop, create, and modify computer applications software. Design and develop scalable platform services on which we run our company and ensure we scale to meet our rapid employee and business growth. Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design. Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline. Partner with our security and compliance teams to ensure each application meets compliance, security and audit requirements. Participate in the continual improvement of engineering tools, cloud-based technologies/services, and processes. Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support. Collaborate with cross-function teams. Apply advanced troubleshooting techniques to provide unique solutions for critical, highly complex, customer problems that span multiple AWS services. Assist business users on a wide variety of topics, including Data warehousing, AWS cloud architecture, migration and troubleshooting complex performance issues. Architect, Design, Develop and Implement Data Integration solutions in Data Warehouse, Data Lake and Data Analytics platforms. Design, develop, and maintain efficient large-scale data pipelines to collect and transform rich data using big data technologies. Up to one day per week telecommuting may be permitted. You are required to have Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Computer Information Systems, Electrical Engineering, Electronics Engineering, or related field. 10 years of progressive experience in the position or a related occupation. Will also accept a Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Electrical Engineering, Electronics Engineering, or related field and 8 years of experience in the position or a related occupation. Must have at least 1 year of prior work experience in the following: Delivery of multi-tier, highly scalable, distributed Data Platforms. Architecture, Design, Development and Implementation of Data Warehousing, Big Data, Data Analytics solutions in on-premises or cloud environments. Distributed computing frameworks: Hive/Hadoop, Apache Spark, and Airflow. Working with one of the following programming languages: Python, Scala, Java, or Unix and SQL. Working on building ETL (Extraction Transformation and Loading). Software development and Data Integration working on Data warehouse, big data processing and distributed systems. Developing CI/CD pipelines. SQL and NoSQL database design, Data Modeling and Performance Tuning. Working experience in any of the relational Databases: Teradata, Amazon Redshift, Oracle, MySQL, or PostgreSQL. Cloud services: AWS Services EC2, S3, RDS, DynamoDB, VPC, DMS, EMR, IAM, and Amazon Managed Workflows for Apache Airflow. Business Intelligence tools like Tableau, QuickS ... (truncated, view full listing at source)