Customer Analytics - UI Engineer
Santa Clara Valley (Cupertino) , California , United States
Posted: Aug 27, 2021
Weekly Hours: 40
Role Number: 200214358
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a UI engineer to support customer analytics with advanced, scalable and robust architecture, tools, and data products. We looking for an enthusiastic and dedicated engineer with front end and design experience, who can build full-stack web applications and data analysis pipelines to enhance the way we visualize and interact with our data. Ideal candidate will have a high attention to detail, and can abstract these details into framework level software solutions.
- 4+ years of experience with Java
- 3+ years of experience in agile ways of working in a distributed geographical model
- 2+ years of experience in designing, prototyping and implementing user interfaces (UIs)
Technical Experience in Spring, Rest WebServices Experience with CSS pre-processing frameworks (Sass or Less) Experience in designing, developing, and managing highly optimized, flexible, and scalable data insights, interaction and analytical tools for customer analytics. Experience building a low latency platform (highly distributed, scalable with high availability) Deep experience in developing custom UI frameworks and developing robust, low latency and fault tolerant applications dealing with very high volumes. Work closely with data analyst, project managers, and back-end engineers to implement versatile front-end solutions. Explore product concepts to find promising directions that address both human and business needs. Architect efficient and reusable front-end systems that drive complex web applications Deliver innovative, engaging prototypes using the latest in front-end technologies. Problem Solving Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs. Communication Strong documentation and technical writing skills. Attention to detail and effective verbal/written communication skills. Environment / Culture Can work effectively on sometimes ambiguous data and constructs within a fast changing environment, tight deadlines and priority changes.
Education & Experience
Prefer: BS/MS in Computer Science, Quantitative Finance, Math, Physics or a related field