Contribute to an agile team and be part of an international development team Implement and deploy scalable, robust, performant and secure Python code Build fast data storage and processing architectures Design and implement robust REST APIs WHAT IS YOUR STACK (Mast have): Python, Pandas, Pytest, CI/CD, Jira, Confluence, GitHub, (Good to have): Flask, Dash, DevOps, Big Data Architecture, SCRUM, SonarQube (Assets): Docker, Hadoop, HBase, Kafka, NiFi, Camunda, Databricks, Cloudera, Kubernetes WHAT ARE WE LOOKING FOR 4+ years working experience as a software engineer, preferably in an enterprise and data science environment A true team player who likes to contribute and benefit from working with others Engineer capable of designing solutions, writing code, testing code, automating tests and deployment Demonstrated skills, knowledge, and expertise with statistical computer languages (Python, etc.) and the related ecosystem (jupyterlab, jupyter notebook, ) Strong experience working and creating data architectures to designing and developing mission critical enterprise grade software in a big data environment Good knowledge of CI/CD and automated testing with Python Creative problem-solving ability and sound judgment - ability to use own initiative and take responsibility for decisions Strong spoken and written communication skills in English (German is a plus) combined with very strong client service orientation and willingness to travel
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