Darum lohnt es sich
Main Tasks Working cross-functionally with business managers/product managers/engineers and data scientists to gather requirements and to understand their business processes Design, develop, deploy, manage scalable cloud infrastructures that solve business problems Designing, implementing, and managing optimal data analytics pipelines from end-to-end Making strategic data architecture recommendations Implementing data science frameworks to enable organization-wide experiments, enable data science research and development and enable deployment of production solutions Implementing systems that enable delivery of insights to business units and customers Apply dev-ops processes to deliver and maintain production level systems Apply quality processes to ensure the requirements are met Implement and manage security in accordance with industry standards Document all aspects of design, implement, test and release Job Requirements (Qualifications, Skills, Experience, Competencies)
As a successful applicant, you would have a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field with the ability to manage stakeholders and communicate well.
You will have strong experience in cloud technologies (AWS/Azure or similar) with at least 5 years of experience in a Data Engineer role.
