Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Analytics is an industry-leading solution that empowers marketers to understand customers: what they want, need, and believe. Our clients are using it to discover the most valuable customer segments and use these insights to steer an entire business with customer intelligence.Adobe Analytics empowers decision-making with accurate, timely, and insightful data. With drag-and-drop segment building and customizable reporting, marketers can discover high-value customers and the best ways to engage them.We accomplish all of the above by understanding the multi-device usage and the customer journey across those devices in their interactions with the brand, finding new insights, and identifying issues — all with real-time, multichannel data.By using experiential data from cross-channel marketing and sophisticated analytics, we get the most complete picture of the customers’ journey.We are looking for a Big Data Engineer to join our Adobe Analytics team based in Bucharest.What you'll do Transform the business requirements into feature specificationsBuild and maintain high-performance, scalable solutionsBe involved in all the product development and delivery stages as part of a unified engineering team: design, coding, code review, unit testing, bug fixing, operationsPerform on-call activities, on rotation with the rest of the teamBe part of an agile, highly collaborative, and passionate team developing new products and featuresResearch on various technologies useful for the project and stay up to date with the evolution of the Analytics marketImprove your technical and collaboration skillsWhat you need to succeed Computer Science degree and/or 3+ years of relevant work experienceExcellent understanding of OOP, Functional Programming, and Typed Languages (Java or Scala)Experience using data-intensive processing frameworks and technologies: Spark, Flink, Kafka Streaming, Hadoop, HBase, MapReduce, Kafka.Experience with cloud services platforms (AWS and/or Azure) or KubernetesExperience with building, delivering, and operating high-quality SaaS solutions: testing, CI/CD, monitoring, infrastructure as codeStrong algorithm, logical and problem-solving skillsExperience with writing maintainable, secure and performant codeAbility to learn and apply new technologiesAbility to take initiative to address technical challenges, self-motivation, continuous improvement approachDedication to delivering high-quality products, demonstrating accuracy and thoroughness both in testing and code developmentExcellent interpersonal skills. Excellent English verbal and written communication skills. Highly collaborative working style.Agile / Scrum project management methodologiesAdobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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