Data Engineer (Data RND Team)

Análisis del mercado

Stack

Detalles

Gratis, tras iniciar sesión.

Postular

Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.

Descripción

We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results. More than 6000 colleagues are part of eMAG Teams. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster! Data Engineer (Data RND Team) We’re a small full-stack data engineering team that builds the foundations other data teams stand on. We architect tools and processes that act as force multipliers across the platform. What you’ll have to do: Develop AI tooling (MCP servers) for our domain BI modelling teams Create libraries, packages and custom orchestration in Airflow for the Data Science team Help develop our metadata-as-code setup and its integration with DataHub Help build and maintain our GCP infrastructure (Terraform) Operate and evolve our multi-team Apache Airflow platform (images, workers and queues, Keycloak SSO, per-team isolation) What makes you a good fit: A proficient data engineer who knows their way around orchestration, deployment, lakehouses and infras

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión

Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.