Data Engineer AWS

Tenth Revolution Group

España

Presencial

EUR 45.000 - 65.000

Jornada completa

14 días+

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Descripción de la vacante

Tenth Revolution Group in Spain is seeking a Data Engineer to design and optimize data pipelines in a hybrid work setup at Carrer de Prat de la Riba, 50, Sant Cugat. The role focuses on AWS-driven solutions, data modeling, ETL, and scalable data warehousing.

Ideal candidates will have strong analytical skills, the ability to collaborate within a team, and a passion for professional growth within a forward-thinking tech environment.

Formación

  • Experience with AWS and data warehousing
  • Strong SQL skills and data modeling expertise
  • Ability to design scalable ETL pipelines
  • Familiarity with cloud architecture and data lakes/wunnels

Responsabilidades

  • Design, build and optimize data pipelines and ETL processes
  • Collaborate with stakeholders to define data requirements and KPIs
  • Maintain and optimize data models and warehouses for performance

Conocimientos

AWS data services
Data modeling
ETL processes
Cloud architecture
SQL/data warehousing
Analytical skills
Team collaboration

Descripción del empleo

Unlock your potential in a rewarding Data Engineering role focused on AWS, where your expertise will drive impactful data solutions.

We are seeking a motivated individual to fill a Data Engineering position based in a hybrid work environment at Carrer de Prat de la Riba, 50, Sant Cugat. This role is perfect for those who are passionate about leveraging technology to optimize data systems and processes.

Key skills required for this position include:

  • Proficiency in data modeling and ETL processes
  • Experience with AWS services and cloud architecture
  • Knowledge of database management systems and data warehousing
  • Strong analytical and problem-solving abilities
  • Excellent communication skills and the ability to work collaboratively in a team

This position offers the opportunity to work on innovative projects that have a real impact on the organization. The ideal candidate will thrive in a collaborative environment and have a strong commitment to professional growth.

If you possess the required skills and are eager to contribute to meaningful data engineering initiatives, we encourage you to apply for this exciting opportunity.

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