Spark/Scala Engineer

Description Responsible for developing and operating big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production errors and issues to ensure the best data platform experience. Responsibilities Develop and operate large-scale big data platforms using open source and other solutions. Support critical application

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building elite, extraordinary scalable systems that power App Store, Apple Music, Apple TV+, Apple Fitness+, Apple Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawles

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 engag

Key Responsibilities:Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.Build and optimize data solutions using Apache Spark (PySpark) and streaming technologies.Develop and manage data lakes, data warehouses, and cloud-based data platforms on Google Cloud Platform.Optimize Spark jobs, SQL queries, and data workflows for performance and cost efficiency.Implement data quality, monitoring, and alerting frameworks.Required Skills: Strong experience in B