Data Engineer

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Skills you'll use

What you'll do

• Design, build, and maintain dbt data models across Bronze, Silver, and Gold layers of a Medallion architecture
• Develop custom dbt macros to enforce modeling standards, reduce code duplication, and improve team productivity
• Write production-grade Python code for data ingestion, transformation, and processing workflows
• Build, schedule, and monitor data pipelines using orchestration platforms such as Dagster and Astronomer (Apache Airflow)
• Implement and manage CI/CD pipelines in GitLab for automated testing, linting, and deployment of dbt projects and Python packages
• Collaborate with data architects and analytics engineers to translate business requirements into clean, performant data models and pipelines
• Apply data modeling best practices including normalization, slowly changing dimensions, and star/snowflake schema design where appropriate
• Leverage AI-assisted development tools such as Amazon Q and Kiro to accelerate pipeline development
• Expert-level proficiency in dbt (Core or Cloud), including advanced features such as custom macros, hooks, tests, and packages
• Strong Python development skills, including writing modular, testable, and maintainable code for data engineering use cases

Who can apply

• Good to have skills : NA

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