Our Company
Changing 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 are acquiring 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 manage to get the most complete picture of the customers' journey.
We are looking for a Senior Big Data Engineer to join our Adobe Analytics team based in Bucharest.
What you'll do:
Create the future Adobe products by building and maintaining complex features in a large-scale, multi-cloud microservices SaaS product
Own the outcome by taking the initiative and ownership of the application design efforts while always optimizing for quality, scalability, and performance
Raise the bar by focusing on continuously innovating and seeking novel methods for addressing complex technical distributed system challenges in a big data environment
Be genuine, serve as a mentor, foster a collaborative environment, and encourage and guide team members by being honest and direct
Work with and across teams and domains to collaborate
Act with clarity and precision, ensuring projects are driven with a strong sense of ownership and direction
What you need to succeed
Computer Science degree and/or 5+ years of relevant work experience
Excellent 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; operational experience is a plus
Experience with cloud services platforms (AWS and/or Azure) or Kubernetes is desirable
Experience with building, delivering, and operating high-quality SaaS solutions: testing, CI/CD, monitoring, infrastructure as code
Strong algorithm, logical and problem-solving skills
Experience with writing maintainable, secure and performant code
Ability to learn and apply new technologies
Ability to take initiative to address technical challenges, self-motivation, continuous improvement approach
Dedication to delivering high-quality products, demonstrating accuracy and thoroughness both in testing and code development
Excellent interpersonal skills. Excellent English verbal and written communication skills. Highly collaborative working style.
Agile / Scrum project management methodologies
Adobe is proud to be anEqual Employment Opportunityand 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.
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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.