Staff Data Engineer
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Die Stelle
Lead the end-to-end development of real-time scoring services, RESTful APIs, and container-based distributed systems within a dynamic product environment.
Architect and deliver highly available, secure, and scalable data token platform components, integrating large-scale data pipelines and ML features.
Drive the adoption of next-generation software with machine learning and deep learning capabilities, including model productization and evaluation.
Mentor engineers, foster accountability, and represent the team in cross-functional forums with product management and security partners.
Build and operate robust data pipelines using Hadoop, Spark, Scala/Java, and both relational and non-relational databases, with CI/CD and Agile practices.
Ensure performance, security, and reliability while driving innovative proof-of-concept initiatives and timely delivery in a hybrid work setting.
Architect and deliver highly available, secure, and scalable data token platform components, integrating large-scale data pipelines and ML features.
Drive the adoption of next-generation software with machine learning and deep learning capabilities, including model productization and evaluation.
Mentor engineers, foster accountability, and represent the team in cross-functional forums with product management and security partners.
Build and operate robust data pipelines using Hadoop, Spark, Scala/Java, and both relational and non-relational databases, with CI/CD and Agile practices.
Ensure performance, security, and reliability while driving innovative proof-of-concept initiatives and timely delivery in a hybrid work setting.
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