Perfil buscado (Hombre/Mujer)
• Develop high quality data models in SQL to support our applications
• Develop automated data pipelines in AWS (lambdas, step functions, Glue)
• Design, building, and launching of new data models and data pipelines
• Implement best practices in data engineering including data integrity, validation, reliability, and documentation and improving discoverability of data
• Optimize database design for performance
• Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs
• Join a +100 super motivated ML Engineers, data scientists and developers.|AI products, AI Laboratory. Work flexibility. Fun and agile environment.
• 5+ years of experience in data modeling, ETL/ELT development, and Data Warehousing
• 3+ years of experience in with Cloud database technology, specifically Redshift
• 2+ years of experience developing and deploying high-performance solutions using Apache airflow, Lambda Functions, Glue, Python and Spark
• Solid understanding of database design principals
• Solid understanding of query execution plans
• Nice to have DBT experience
Fast-growing start-up with HQ in Munich. Nowadays a team of 120+ super motivated ML Engineers, Data Scientists, and Developers. Ficus in AI product for business insights
• We are an internationally diverse team that supports one another
• We develop high-quality software and thus create sustainable added value for our customers
• We live a feedback culture so that we can constantly reflect and improve
• We offer flexible remote work with free time management within the projects
• We enjoy new technologies and love to learn new things and grow with them
• We give freedom for further training because lifelong learning is important to us
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