Sr. Big Data Engineer - Unified Identity Services job opportunity at Adobe.

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DatePosted 3 Days Ago bot
Adobe Sr. Big Data Engineer - Unified Identity Services
Experience: 7-years
Pattern: full-time
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degreeHigh School (S.S.C.E)
loacation Bucharest, Romania
loacation Bucharest....Romania

The Opportunity From the moment you wake up in the morning until you go to bed at night consider the media you consume, the adverts you see, the apps you use, the websites you browse and almost all of the shopping you do online throughout the day. Chances are that every single one of those interactions, every single one of those experiences, was touched by an Adobe product. We have a fantastic opportunity for a Software Development Engineer to join our Adobe Experience Platform team based in Bucharest. Adobe Experience Platform is the Adobe solution that helps customers to centralize and standardize their customer data and content across the enterprise powering 360-degree customer profiles, enabling data science and data governance to drive real-time personalized experiences. With Experience Platform, enterprises will be able to use completely coordinated marketing and analytics solutions for driving relevant customer interactions. Our engineering team is responsible for building the Adobe Experience Platform. We help thousands of customers collect, handle and synthesize petabytes of data with high fidelity and velocity. We help them make sense of that data, glean insights and run algorithms, so they can deliver delightful experiences in real-time, every time. This position is for a key contributor who will be a part in developing modern data architectures, highly distributed solutions, and implementing those solutions through to production. What you’ll do: Create the future Adobe products by building and maintaining complex features in a large-scale, multi-cloud microservices SaaS product with focus on data ingestion and privacy jobs. Own the outcome by taking the initiative and ownership for the application design efforts while always optimizing for quality, scalability and performance. Raise the bar by concentrating on constantly innovating and exploring new methods to tackle intricate technical distributed system challenges. 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 7+ years of relevant work experience. Excellent understanding of programming concepts like OOP, Functional Programming, Typed Languages (Scala preferred). Experience using data intensive processing frameworks (Apache Spark, Flink). Proven ability to research and become proficient in new technologies. Experience with cloud services platforms (Azure and/or AWS). Practical experience applying AI tools to improve productivity and efficiency in various work settings. Demonstrated knowledge building, delivering and operating a high quality SaaS solution: testing, CI/CD, monitoring, infrastructure as code. Experience with distributed event streaming technologies (e.g. Kafka), and "NoSQL" databases (e.g., Cassandra) will be considered a plus. Experience with Databricks or similar Lakehouse platforms will be considered a plus. A sharp eye for security related issues and performance bottlenecks. Excellent verbal, written, and interpersonal communication skills. Good English language knowledge, both written and spoken. Agile / Scrum project management methodologies. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.  Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.  AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .  

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