Senior Data Scientist for Big Data Processing
vor 1 Monat
Dynatrace is seeking a highly skilled Senior Researcher Engineer to join our team and contribute to the development of innovative big data processing solutions. As a key member of our research team, you will work closely with our development teams and other stakeholders to design and implement efficient algorithms and architectures for real-time data processing.
Key Responsibilities:- Develop and implement advanced data processing algorithms and architectures for real-time data ingestion and processing.
- Collaborate with our development teams to bridge academic research and commercial technology development.
- Actively participate in scientific and industrial cooperation projects to drive innovation and growth.
- Design and implement scalable and efficient data processing solutions using technologies such as Kafka, Spark, and Lucene.
- Contribute to the development of next-generation technologies that help companies run better, safer, and more innovative software.
- MSc or PhD in Computer Science or a related field.
- Strong interest in performance and resource optimization as well as algorithm development for indexing, pattern matching, and query optimization.
- Experience with real-world projects in the area of big data processing.
- 5+ years of experience in Java development, including architectural design.
- Familiarity with test-driven development, clean code, and design patterns.
- Excellent English skills (oral and written).
Dynatrace is a one-product software company creating real value for the largest enterprises and millions of end customers globally. We strive for a world where software works perfectly. Our team is passionate about innovation, collaboration, and growth, and we offer a unique and tailor-made career development program to support your career goals.
We're an equal opportunity employer and welcome applicants from diverse backgrounds. Join our team and be part of a global community that values innovation, creativity, and excellence.
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