DBT Snowflake developer

DBT Developer (Snowflake)

Job Description for a DBT Developer with 3-5 years of experience, focusing on macros, modeling, and hands-on SQL within a Snowflake platform, would typically include the following:

Roles and Responsibilities:

• DBT Development & Data Transformation:
• Design, develop, and maintain robust and scalable data transformation pipelines using dbt on the Snowflake platform.
• DBT Macro Development to create and utilize Jinja-based DBT macros to promote code reusability, modularity, and dynamic SQL generation within DBT projects.
• Data Transformation & Orchestration to implement and manage data transformation pipelines using DBT, integrating with various data sources and ensuring efficient data flow.
• Utilize advanced dbt concepts, including macros, materializations (e.g., incremental, view, table), snapshots, and configurations to build efficient data models.
• Write highly optimized and complex SQL queries for data manipulation, cleaning, aggregation, and transformation within dbt models.
• Implement and enforce best practices for dbt project structure, version control (Git), documentation, and testing.
• Data Modeling:
• Collaborate with data analysts, engineers, and business stakeholders to understand data requirements and translate them into effective data models (e.g., star schema, snowflake schema).
• Design and implement logical and physical data models within dbt to support analytical and reporting needs.
• Snowflake Platform Expertise:
• Leverage Snowflake features and functionalities for performance optimization, including virtual warehouses, clustering, caching, and query optimization.
• Manage and optimize data ingestion and integration processes from various sources into Snowflake.
• Collaboration & Communication:
• Work closely with cross-functional teams to understand business requirements, troubleshoot issues, and deliver high-quality data solutions.
• Participate in code reviews, provide constructive feedback, and ensure adherence to coding standards.
• Communicate technical concepts effectively to both technical and non-technical audiences.
• Quality & Governance:
• Ensure data quality, integrity, and lineage throughout the data transformation process.
• Implement and maintain DBT tests to ensure data quality, integrity, and adherence to business rules.
• Implement and maintain data governance policies and procedures within the dbt environment.
• Develop and execute automated tests for dbt models to ensure data accuracy and reliability.
• Continuous Improvement:
• Stay updated with the latest dbt and Snowflake features and best practices.
• Identify opportunities for process improvements and implement automation where appropriate.

Required Skills:

• Proven hands-on experience with dbt in a production environment, including extensive use of macros and advanced modeling techniques.
• Expert-level proficiency in SQL for data querying, manipulation, and transformation.
• Strong experience with Snowflake, including performance tuning and optimization.
• Solid understanding of data warehousing concepts and ETL/ELT processes.
• Experience with version control systems, particularly Git.
• Familiarity with data modeling principles (star schema, snowflake schema).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.