Sr. Data Engineer
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Die Stelle
Design and build scalable data pipelines and software solutions that leverage data to solve complex business problems.
Lead hands-on data engineering activities including POCs, architecture, design, documentation, development and testing of new data pipelines and feature data support for ML/AI driven fraud detection platforms.
Collaborate with cross-functional teams to refactor and optimize existing data processing components for performance and maintainability.
Develop data-driven solutions and enable more efficient data delivery to customers.
Work in a Unix/Linux environment using technologies such as Hadoop, Hive, Spark, Kafka, Redis, NoSQL, and SQL.
Proficiency in Java or Python and automation tools like Jenkins, Artifactory, and Git is required.
Lead hands-on data engineering activities including POCs, architecture, design, documentation, development and testing of new data pipelines and feature data support for ML/AI driven fraud detection platforms.
Collaborate with cross-functional teams to refactor and optimize existing data processing components for performance and maintainability.
Develop data-driven solutions and enable more efficient data delivery to customers.
Work in a Unix/Linux environment using technologies such as Hadoop, Hive, Spark, Kafka, Redis, NoSQL, and SQL.
Proficiency in Java or Python and automation tools like Jenkins, Artifactory, and Git is required.
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