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DBT Specialist for Data Warehousing
2 weeks ago
- Data Engineering: Design and optimize Snowflake database schemas, tables, and views using advanced DBT features.
- DBT Development: Build, test, and maintain data models using DBT, ensuring high-quality and performance-optimized results.
- CI/CD Pipelines: Implement and manage CI/CD pipelines for automated testing and deployment of DBT models, ensuring seamless integration with cloud infrastructure.
- Data Quality: Develop and implement data quality checks, validation, and monitoring within DBT, guaranteeing accurate and reliable data processing.
- Expertise in DBT: Proficient in building, testing, and maintaining data models using DBT, with strong understanding of DBT best practices and advanced features.
- Snowflake Expertise: In-depth knowledge of Snowflake architecture features and functionalities, with experience in designing and optimizing Snowflake database schemas, tables, and views.
- Cloud Infrastructure: Strong understanding of cloud infrastructure and services related to data storage and processing, with experience in integrating different data sources using DBT.
- Python Scripting: Proficient in Python scripting and automation tasks, with knowledge of integrating different data sources using DBT.
- AWS Landscape: Familiarity with AWS landscape, especially AWS S, with experience in implementing data quality checks, validation, and monitoring within DBT.
