We are seeking a highly skilled Snowflake DBT Developer with at least 5+ years of experience in cloud data warehousing, data transformation, and modern ELT development. The ideal candidate must possess strong hands-on expertise in Snowflake DBT as the primary skill, along with good working knowledge of SQL and data modeling concepts. The candidate should be capable of working independently in a fast-paced delivery environment and managing end-to-end data transformation and analytics engineering deliverables.

• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Warehousing projects.

• Strong hands-on experience in DBT (mandatory and primary skill), with expertise in developing and maintaining scalable data transformation pipelines.

• Good working knowledge of Snowflake, SQL, data modeling, and modern ELT best practices.

• Design, develop, test, and deploy scalable data transformation solutions using Snowflake DBT.

• Build and maintain robust ELT pipelines for data ingestion, transformation, validation, and reporting.

• Develop and optimize DBT models, macros, snapshots, seeds, and tests to support enterprise data platforms.

• Analyze business requirements and translate them into efficient and reusable data transformation solutions.

• Perform data quality checks, troubleshooting, and performance tuning of DBT models and Snowflake workloads.

• Collaborate with data architects, data engineers, business analysts, and stakeholders to deliver high-quality data solutions.

• Ensure adherence to coding standards, data governance policies, best practices, and documentation requirements.

• Participate in code reviews, release deployments, and CI/CD processes for DBT projects.

• Independently manage assigned deliverables and provide production support for critical data transformation workflows.

• Minimum 5 years of experience in Data Engineering, Analytics Engineering, or Data Warehousing.

• Strong hands-on experience with Snowflake DBT development and implementation.

• Advanced SQL development and query optimization skills.

• Strong understanding of data modeling concepts, including dimensional modeling and star schemas.

• Knowledge of CI/CD practices and deployment frameworks.

• Strong analytical, problem-solving, and communication skills.

DBT (Data Build Tool) , Snowflake , ETL/Data Engineering