Data Engineer Big Data Solutions

hace 1 semana


Madrid, Madrid, España Inetum A tiempo completo

Company Overview
Inetum es una consultora digital internacional y ágil que se esfuerza por renovar continuamente a sus 28.000 profesionales para que vivan positivamente su propio flujo digital.

Sobre la oferta de empleo
Retribución salarial acorde con la experiencia aportada: $80,000 - $110,000 anuales.
Plan de carrera ofrecemos una atractiva carrera profesional en función de la experiencia y potencial personal dentro de una compañía en continua evolución y con un sólido crecimiento.
Plan de formación en competencias tecnológicas de acuerdo con las exigencias de los proyectos y clientes.
Retribución flexible te ofrecemos una retribución a la carta pudiendo elegir diferentes productos y modelar tú mismo cómo distribuirlos: seguro de salud, tickets de comida, guardería, tarjeta transporte, etc.
Flexibilidad horaria

Descripción del puesto
En este rol clave, serás parte importante de nuestro equipo de data squads, responsable de desarrollar y mantener nuevas plataformas de big data y productos de datos.

Misión
To build data pipelines that ingest, transform, and prepare data from various sources into our datahub platform and data products.

Tu misión será:

  • Dive deep into technical requirements and analyze data needs.
  • Create robust data pipelines using DataStage.
  • Ensure everything works perfectly with thorough testing.
  • Packaging & Delivery: Package and deliver your solutions efficiently.
  • Solve Production Issues: Be the go-to person for resolving production problems.
  • Coordinate with IT OPS: Work closely with IT OPS to ensure smooth operations.
  • Contribute to Agile Meetings: Participate in Agile ceremonies and contribute to the team's success.
  • Share Developments: Present your work in development reviews.
  • Feedback Loop: Exchange constructive feedback with your development team.
  • Collaborate with Business Analysts: Work alongside Business Analysts to align on requirements and solutions.

Perfil
Para esta posición, buscamos a alguien con:

  • Experiencia en herramientas técnicas como DataStage (11.7 / Designer / Monitor), Linux Red Hat / Shell Unix / MobaXterm / Putty, Oracle / SQL Developer, Hadoop, Scala, Flows CFT / GPG, JIRA, Confluence, Teams, GIT.
  • Habilidades en inglés B2 o superior y francés B1 o superior.
  • Aptitud para entender, explicar y apoyar el cambio.
  • Capacidad para trabajar bajo presión y tomar decisiones racionales.

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