SUMMARY: We are seeking a skilled and detail-oriented Data Warehouse Engineer to join our Business Intelligence team and play a key role in designing, building, and optimizing our data infrastructure. In this role, you will develop and maintain scalable data pipelines, ensure the accuracy and performance of our warehouse systems, and collaborate closely with analysts, engineers, and stakeholders to support data-driven decision-making across the organization. You will be instrumental in driving data quality, reliability, and efficiency, while fostering a culture of technical excellence and continuous improvement. As a member of our team, you will work in an entrepreneurial environment where we are constantly looking to learn what our customers need and to develop better ways to serve them. Resume must be submitted in English. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, build, and maintain scalable,



high-performance data warehouse solutions using modern cloud and on-premise technologies. Develop, schedule, and monitor robust ETL/ELT pipelines using tools such as Apache Airflow for orchestration and dbt for data transformation. Optimize data models, queries, and storage strategies to improve performance, scalability, and system reliability. Implement and enforce data quality, validation, and governance standards to ensure accuracy, consistency, and compliance. Collaborate with data analysts, engineers, and business stakeholders to translate analytical requirements into efficient data solutions. Continuously enhance and automate data workflows by leveraging Airflow, dbt and other modern frameworks to drive efficiency and continuous improvement. AWS Linux controls for DW setup

📌 Data Warehouse Engineer (Argentina)
🏢 tires easy
📍 Argentina