Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q2kt0

- What you will do

- Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;
- Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;
- Own key data warehouse components including development, deployment, monitoring, and continuous improvement;
- Provide technical leadership through data architecture reviews and system design discussions;
- Contribute to engineering culture and data-driven best practices;
- Support internal and external stakeholders with a focus on data accessibility and usability;
- Mentor team members and participate in hiring processes.

- Must haves

- 5+ years of experience in data engineering building scalable systems and pipelines;
- Expert proficiency in SQL and strong coding skills in Python ;
- Hands-on experience with data warehousing, data lakes, and large-scale data systems ;
- Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems) ;
- Solid understanding of distributed system architecture focusing on availability, reliability, and performance;




- Strong focus on execution and product delivery;
- Exceptional attention to detail and quality;
- Strong communication skills;
- Ability to mentor and support other engineers;
- Leadership mindset with ability to take initiative and deliver results;
- Comfort working in a fast-paced, evolving environment;
- Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS ;
- Upper-intermediate English level.

As a Data Engineer , you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization.

You’ll collaborate closely with cross‑functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance.

This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data‑driven culture.

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Required Skill Profession

Other General

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q2kt0

📌 Data Engineer (Argentina)
🏢 Agileengine
📍 Argentina