👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

We are looking for a Senior Data Engineer with strong expertise in dbt and AWS-based data platforms.

• 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).

Our client is a global professional services firm operating in the consulting and data analytics industry,