Data Warehouse Engineer: ETL, Cloud & Data Quality

Tires Easy; Buenos Aires; Remote; ARS 151,589,000 - 212,224,000; Full time

Job summary

Tires-Easy is seeking a skilled Data Warehouse Engineer to join our BI team. You will design, build, and optimize data pipelines and warehouse systems, partnering with analysts and engineers to enable data-driven decisions.

You will implement ETL/ELT workflows with Airflow and dbt, model data for performance, and ensure data quality and governance across cloud and on‑premise environments, aligning with business stakeholders.

Qualifications

• Bachelor’s degree in a technical field; 3+ years designing and maintaining data warehouses and ETL/ELT workflows.
• Proficiency in SQL with data modeling, schema design, and performance optimization.
• Hands-on experience with Airflow, dbt, and AWS cloud-based data platforms (Snowflake/Redshift).

Responsibilities

• Design, build, and maintain scalable data warehouse solutions using modern cloud and on‑premise tech.
• Develop, schedule, and monitor robust ETL/ELT pipelines with Airflow and dbt.
• Optimize data models, queries, and storage for performance and reliability.
• Enforce data quality, governance, and compliance standards across the warehouse.
• Collaborate with analysts and stakeholders to translate requirements into data solutions.

Skills

SQL

Python

Analytical thinking

Education

Bachelor's degree in Computer Science / Information Systems / Data Engineering

Master's degree preferred

Tools

Airflow

dbt

Snowflake

Redshift

AWS

Linux

Job description

Tires-Easy is seeking a skilled Data Warehouse Engineer to join our BI team. You will design, build, and optimize data pipelines and warehouse systems, partnering with analysts and engineers to enable data-driven decisions.

You will implement ETL/ELT workflows with Airflow and dbt, model data for performance, and ensure data quality and governance across cloud and on‑premise environments, aligning with business stakeholders.