DBT Snowflake Developer

Role: DBT Snowflake Developer

Location: Raleigh, NC

Job Description:

DBT, Snowflake, SQL, Data warehousing, ETL, Git, Data Modelling techniques
"A Job Description (JD) 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
equirements, 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."