Data Engineer - Monetization
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleAs a data engineer in the Monetization organization you will work on making Twitch’s massive data sets robust and consumable by people around the company. You’ll work with a team of other data engineers to build and maintain data pipelines that allow our stakeholders to understand our business.We’re a distributed team with members all over the country. You can work from Twitch’s headquarters in San Francisco, CA; or from one of our hub locations in Seattle, WA; Irvine, CA; or New York City, NY.You Will- Work closely with data scientists and engineers to create robust data architectures and pipelines.- Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions- Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3.Perks- Medical, Dental, Vision & Disability Insurance- 401(k)- Maternity & Parental Leave- Flexible PTO- Amazon Employee DiscountBASIC QUALIFICATIONS- 1+ year of experience working in a data engineering, data science, or software engineering capacity- Deep expertise in writing and maintaining robust data pipelines in SQL- Ability to turn data requirements from stakeholders into actionable plans- Extensive experience with cloud computing tools, like AWS, Azure, or Google Cloud- Knowledge of data quality best practices ...