DBT Data Engineer

Job Description:

– Experience Level - 6 - 12 years.

– Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting.

– Design, develop, and maintain ETL/ELT pipelines using DBT and pulling data from Snowflake.

– Define and implement data modelling best practices, including data warehousing, ETL processes, and data transformations using DBT.

– Build complex SQL queries within DBT to build incremental models, enhancing data processing efficiency.

– Establish data governance practices and ensure data accuracy, quality, and consistency within the data transformation process.

– Collaborate with data engineers, data analysts, and other stakeholders to understand and meet data requirements for various business units.

– Identify and address performance bottlenecks in data transformation processes and optimize DBT models for faster query performance.

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