Design, develop, and maintain data models and transformations using DBT;
Build and optimize datasets in AWS Athena, Redshift;
Collaborate with Data Engineers and BI Developers to ensure consistency and reusability of data sources across the company;
Implement data quality tests, documentation, and lineage to maintain trust in data;
Partner with business stakeholders to translate analytical requirements into scalable data solutions;
Contribute to the standardization of metrics and definitions across dashboards and reports;
Support Tableau/Analytic teams in performance tuning, source validation, and model optimization;
Participate in code reviews, CI/CD, and continuous improvement of the data stack.
3+ years of experience as an Analytics Engineer, Data Engineer, Data/Product Analyst, or BI Developer in a modern data stack environment;
Strong SQL skills (analytical queries, CTEs, window functions, optimization);
Experience with dbt (sources, models, tests, macros, documentation);
Good understanding of data modeling principles (star schema, incremental builds, staging layers);
Familiarity with Airflow DAGs, scheduling, and dependencies;
Experience with version control (Git) and collaborative development;
English – intermediate or higher (able to communicate in technical discussions);
Problem-solving skills;
Attention to detail;
GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;
DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;
BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.