Solid foundation in computer science principles, including data structures and algorithms, with a focus on data analytics engineering, databases, data analysis, descriptive statistics, ideally also on inferential statistics and probability theory - While your primary focus is on data analytics engineering, you will also leverage some data science techniques when needed. * You will work under the guidance of a in Data Analytics Engineering * Pipeline Development & Deployment: Design, develop, and deploy robust data transformation pipelines using latest data analytics engineering technology * Technical Leadership & Mentorship: Lead and mentor , sharing your expertise and best practices in data analytics and data analytics engineering * Solid knowledge of SQL, databases, and BI tools (e.g., Tableau or similar) * Familiarity with agile methodologies, software design princ
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