Amazon Web Services (AWS)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 & Requirements
Cloud 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon