Sr. DevOps Data Engineer at Apple (Shanghai, China)
Add To BookmarksCompany:
Location: Shanghai, China
Type: Full Time
Created: 2021-05-18 05:00:21
Company OverviewApple ignited the personal computer revolution in the 1970s with the Apple II and we reinvented it in the 1980s with the Macintosh. Today, we continue to own the industry in innovation with its award-winning computers, OS X operating system and iLife and professional applications. Apple is also spearheading the digital media revolution with its iPod portable music and video players and iTunes online store and has entered the mobile phone market with its revolutionary iPhone.Make a difference.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 could accomplish.Job SummaryCraft the next generation of big data solutions at Apple by working on the world-class technologies and solutions for the Strategic Data Solutions (SDS) team. SDS is looking for outstanding engineers to help bring our environment to the next level. Our team is responsible for the data collection and reporting for all of Apples products around the world. You will build systems that every iPhone, iPad and Mac have interacted with. Apples engineering and operations teams will utilize your systems to build the next remarkably great product. Do something amazing and be a critical part of a company that everyone recognizes and loves.In this role, you will be handling very large-scale, highly-available Big Data Platform supporting many-Petabytes of data and growing very rapidly. You will be a key part of the design, architecture, instrumentation and delivery of a massive data platform empowering Apples products.As a member of a multi-functional team, you'll have the opportunity to solve meaningful operational problems across a broad range of Apple manufacturing services. You will be leading innovation by exploring, investigating, instrumenting, recommending, benchmarking and implementing data centric technology solutions for the platform.