DBT Snowflake developer

DBT Snowflake Developer

A 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:

Job Title: DBT Developer (Snowflake)

Experience: 3-5 years

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.