Cloud Data Engineer

We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions. Responsibilities:Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool) Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.Develop data routes: You design scalable and powerful data management processes.Analyze data: You derive sound findings from data sets and present them in an understandable way.Requirements:Requirements management and project experience: You successfully implement cloud-based data & analytics projects.Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).SQL know-how: You have a sound and solid knowledge of SQL.Data management: You are familiar with topics such as master data management and data quality.Bachelor's degree in computer science, or a related field.Strong communication and collaboration abilities to work effectively in a team environment. Skills & RequirementsCloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.