Snowflake DBT
Posted Apr 30, 2026
As a Data Engineer at our company, your role will involve developing, maintaining, and optimizing data pipelines using DBT and SQL on Snowflake DB. You will collaborate with data analysts, QA, and business teams to build scalable data models. Additionally, you will implement data transformations, testing, and documentation within the DBT framework. Working on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning, will also be part of your responsibilities. You will utilize Python for automation, scripting, and additional data processing as needed. Key Responsibilities:
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Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB. - Collaborate with data analysts, QA, and business teams to build scalable data models. - Implement data transformations, testing, and documentation within the DBT framework. - Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning. - Use Python for automation, scripting, and additional data processing as needed. Qualifications Required:
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6+ years of experience in building data engineering pipelines. - Strong hands-on expertise with DBT and advanced SQL. - Experience working with modern columnar/MPP data warehouses, preferably Snowflake. - Knowledge of Python for data manipulation and workflow automation (preferred). - Good understanding of data modeling concepts, ETL/ELT processes, and best practices. If you are interested in joining our team, please ensure that you meet the qualifications and are ready to take on the responsibilities of a Data Engineer with proficiency in Snowflake and DBT. As a Data Engineer at our company, your role will involve developing, maintaining, and optimizing data pipelines using DBT and SQL on Snowflake DB. You will collaborate with data analysts, QA, and business teams to build scalable data models. Additionally, you will implement data transformations, testing, and documentation within the DBT framework. Working on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning, will also be part of your responsibilities. You will utilize Python for automation, scripting, and additional data processing as needed. Key Responsibilities: