Data Warehouse Engineer: Cloud ETL & Data Quality

Tireseasycom; Argentina; Presencial; ARS 135.820.000 - 181.094.000; Jornada completa

Descripción de la vacante

Tireseasycom in Argentina is seeking a Data Warehouse Engineer to design, implement, and optimize scalable data warehouse solutions supporting analytics across the business.

You will build robust ETL/ELT pipelines using Apache Airflow and dbt, model data for performance, and work with AWS data services. Resume must be submitted in English.

Collaborate with analysts, engineers, and stakeholders in a fast-paced environment while ensuring data quality and reliability.

Formación

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering or related field.

Responsabilidades

• Design, build, and maintain scalable data warehouse solutions.
• Develop and monitor ETL/ELT pipelines with Airflow and dbt.
• Optimize data models, queries, and storage for performance.
• Enforce data quality, validation, and governance standards.
• Collaborate with analysts, engineers, and stakeholders.
• Automate workflows to improve efficiency and reliability.
• Manage AWS Linux controls for DW setup.

Conocimientos

SQL

Python

ETL/ELT

Data modeling

AWS

Airflow

dbt

Java

C/C++

Analytical thinking

Educación

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Herramientas

Airflow

dbt

Linux

PostgreSQL

Descripción del empleo

Tireseasycom in Argentina is seeking a Data Warehouse Engineer to design, implement, and optimize scalable data warehouse solutions supporting analytics across the business.

You will build robust ETL/ELT pipelines using Apache Airflow and dbt, model data for performance, and work with AWS data services. Resume must be submitted in English.

Collaborate with analysts, engineers, and stakeholders in a fast-paced environment while ensuring data quality and reliability.