We are looking for a Data Engineer to join one of our teams and help us build great products for our clients.Our mission:We deliver asymmetric advantages to our #adtech customers through vast domain expertise, simplicity, and #stellar level of service. We continue to challenge ourselves and grow as technologists, professionals, and, most importantly, as human beings who work side by side, day after day and year after year. And we don't plan to stop anytime soon.Our values:We put in the work, and we love itSome days, we may fail, but only to try harder the next dayWe work through our losses and celebrate our wins as one teamWe delight our customersWe're service-minded professionalsWe do what we say, and we say what we doWe trust our team, and the team trusts us back We care, and we listenIf it's all about you and you want to become a part of our stellar team, let's try!CustomerWith the deprecation of cookies and mobile IDs, addressability at scale has become an industry-wide challenge. Working with partners with a future-proofed audience strategy and ID-less solution has become paramount, as has leveraging highly engaging and impactful creative to capture customers' attention.Where the client has traditionally focused on AI-powered audiences and geo-location, we are evolving with the industry to refocus on what truly matters in advertising and creativity. We leverage our powerful machine learning engine to deliver high-scale, dynamic creatives that shine in a native environment. Contextually relevant ads deliver greater results.Meet customers where they are with the client's native ads, dynamically optimized to capture attention. Join us as we build future-proofed, AI-powered dynamic experiences for our customers.Responsibilities:Review existing systems and data architectureCollaborate closely with data and systems architectsIdentify pain points in current systems and data architectureIdentify optimization opportunitiesMake recommendations based on experience, including potential complete changes in architectureAssist in an initial implementation of proposed changesSupport team in adapting to new changes and technologiesQualifications:At least 4+ years of experience in data engineeringExperience in data processing architecturesSolid experience with PySpark, HDFS, Delta tables, and workflowDeep understanding of developing, scaling, and overseeing large-scale data pipelines in the cloud (AWS) from inceptionProduction experience with DatabricksAdept problem-solving abilities, thriving in situations where details are scarce, and relishing the opportunity to influence solution directionExcellent communication and presentation skillsAt least an Upper-Intermediate level of EnglishWould be a plus:Experience in the AdTech domainExperience with ScalaExperience with Data Sketches
