1. HR Recruiter Phone Screen [Behavioral Focus] [30 Mins] An initial screening to assess culture fit and values. Be prepared to discuss past behavioral experiences, including how you handle mistakes, lead engineering teams, deal with difficult coworkers, and successfully incorporate constructive feedback into your daily workflow. 2. Technical Interview with Engineering Manager [30 Mins] A deep dive into architectural challenges and real-world system design. You will need to walk through a recent project using the STAR method, detailing your exact role and the core problem solved. Expect to discuss technical complexities such as data acquisition across platforms, building intelligence into platforms, managing infrastructure constraints, asynchronous communication, out-of-order events, and handling SDK dependencies (like avoiding leaky abstractions). 3. Coding & Product Interview with Team Member [30 Mins]

Part 1: Coding Attached to this email you will find two datasets. Each dataset is encoded in Javascript, JSON and CSV for your convenience. The first dataset, "salesData," contains information about medical devices that were sold to healthcare professionals (HCP) at various sites of care (SOC). Each object in the list [row in the table] represents a single invoice to a particular HCP at a particular SOC for a particular number of devices (volume). The second dataset, "procedureData," contains information about medical procedures that were conducted by HCPs at various SOCs. Each object in the list [row in the table] represents some number (volume) of procedures that happened by a HCP at a SOC. Let's assume that the medical device is "disposable;" it can be used for one procedure and then it must be discarded. Our customers are trying to sell more medical devices. One strategy they use is to focus on "elephants;" HCPs who are performing the most procedures without the device. Please implement a function (in whatever language) that will identify the top 5 HCPs where our customers should focus their efforts.