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About the roleWe are looking for an experienced DBT Developer to design, develop, and maintain scalable data transformation solutions. You will work with Snowflake, SQL, Python, and SAS to build reliable ELT pipelines and collaborate with data engineers, analysts, and business teams.Key responsibilitiesDevelop and maintain data transformation workflows using DBT.Design, build, and optimise ELT pipelines on Snowflake.Write complex, performancetuned SQL queries for extraction, transformation, and analysis.Create reusable DBT models, macros, tests and documentation.Implement data quality checks and automated testing within DBT.Develop Python scripts for data processing, automation and integration.Maintain and optimise existing SASbased processes and migrate workloads as needed.Perform data modelling activities, including dimensional modelling and starschema design.Collaborate with crossfunctional teams to translate business requirements into technical solutions.Troubleshoot pipeline issues and improve performance, scalability and reliability.Participate in code reviews, version control and CI/CD deployment processes.Required profile3+ years of experience in data engineering or analytics engineering.Strong handson experience with DBT.Advanced SQL skills with query optimisation.Proficiency with Snowflake data warehouse.Solid Python programming skills for data processing.Experience with SAS programming and data processes.Good understanding of ETL/ELT concepts and data pipeline development.Knowledge of data modelling and warehouse architecture.Familiarity with Git, CI/CD pipelines and Agile methodologies.Required skillsDBTSnowflakeSQLPythonSASGitCI/CDJinja templatingAirflow (or similar orchestration)Power BI / TableauAWS, Azure, GCP (cloud platforms)Data modelling, dimensional modelling, star schema .
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