Design, develop, and maintain data transformation pipelines using dbt.
Build reusable and scalable logic using Jinja and dbt macros.
Work extensively with dbt configurations, project structure, and parameterization.
Implement and optimize dbt materializations (incremental, snapshot, table, view, ephemeral).
Define and maintain data models aligned with business requirements.
Apply data quality checks and testing strategies using dbt and relevant packages.
Collaborate with cross-functional teams to translate business needs into technical solutions.
Troubleshoot and resolve data transformation and pipeline issues.
Contribute to best practices in data modeling and dbt development.

Strong hands-on experience with dbt (Core and/or Cloud) – 3+ years
Deep understanding of dbt internals : project configuration (e.g. dbt_project.yml, profiles) variables, parameters, environments macros and Jinja templating
Experience working within AWS ecosystem.
Solid understanding of data modeling concepts.
Strong problem-solving and analytical skills.
Nice-to-have Skills: Experience with Amazon Redshift.
Familiarity with Data Vault modeling concepts.
Experience with orchestration tools (e.g. Airflow / MWAA).
Knowledge of CI/CD pipelines and Git workflows.
Exposure to data observability tools (e.g. dbt packages, monitoring tools).

Senior Data Engineer, DBT, Data Vault

Key skills