Data Warehouse Engineer

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

About Tires-Easy

We’re on a mission to change the tire industry — how it’s delivered and how it’s experienced. A pioneer in the automotive e-commerce industry, we take pride in our extensive selection of top-name brands and budget-friendly options, ensuring our customers find the perfect tire to suit their needs. As a part of our growing and dynamic team, you'll contribute to our commitment to exceptional service, innovation, and customer satisfaction. Embrace the opportunity to be a driving force behind one of the fastest growing e-commerce companies in the US.

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.

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

QUALIFICATION REQUIREMENTS

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field (Master’s preferred). 3+ years of experience designing, developing, and maintaining data warehouses and ETL/ELT workflows in production environments. Proficiency in SQL and strong experience with data modeling, schema design, and performance optimization. Proven hands‑on experience with modern data engineering tools (e.g. Airflow, dbt) and AWS cloud-based data platforms (e.g., Snowflake, Redshift). Hands‑on experience (on business projects) with programming languages such as: Python, C/C++/Java. Strong analytical and problem‑solving skills, with the ability to work collaboratively across cross‑functional teams in a fast‑paced, data‑driven environment. Must not have had any disciplinary actions regarding attendance, conduct and/or performance in the past 90 days, and must not be approaching such action.

DESIRED SKILLS

Experience using: Excel, Google Sheets, Slack AirFlow, dbt, Linux, PostGre AWS cloud practitioner or engineer certificates are a plus High speed Wi‑Fi connection Be able to work in US timezone shifts (e.g., EST, CST, MST, or PST).