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Challenge

Data Engineer

Ranking: 6

We value the following skills -

  • Must have good implementation experience on GCP Data Storage and Processing Services such as Big Query, Dataproc, Cloud Composer
  • Experience in orchestrating end-to-end data pipelines with tools like Cloud Composer
  • Experience in managing complex and reusable pipelines
  • Experience in building real-time and batch ingestion and pipelines on GCP
  • Experience in Multi-tenanted Data Platforms
  • Automate data processing tasks using scripting languages such as Python
  • Stay-up-to-date with latest GCP services and features and evaluate their potential use in Organization data infrastructure

Data Engineer

Ranking: 6

We value the following skills -

  • Must have good implementation experience on GCP Data Storage and Processing Services such as Big Query, Dataproc, Cloud Composer
  • Experience in orchestrating end-to-end data pipelines with tools like Cloud Composer
  • Experience in managing complex and reusable pipelines
  • Experience in building real-time and batch ingestion and pipelines on GCP
  • Experience in Multi-tenanted Data Platforms
  • Automate data processing tasks using scripting languages such as Python
  • Stay-up-to-date with latest GCP services and features and evaluate their potential use in Organization data infrastructure

Key Responsibilities:

  • Implement and manage GCP Data Storage and Processing Services such as BigQuery, Dataproc, and Cloud Composer.
  • Orchestrate end-to-end data pipelines using tools like Cloud Composer, ensuring efficient and reliable data workflows.
  • Design, build, and manage complex and reusable data pipelines to handle diverse data processing needs.
  • Develop and maintain real-time and batch data ingestion pipelines on GCP to ensure seamless data flow and integration.
  • Manage multi-tenanted data platforms, ensuring data segregation, security, and efficient resource usage.
  • Automate data processing tasks using scripting languages such as Python to enhance efficiency and reduce manual effort.
  • Stay up-to-date with the latest GCP services and features, evaluating their potential use in the organization’s data infrastructure to drive innovation and improvement.

Requirements:

  • Minimum of 4 years of hands-on experience in data engineering, specifically with GCP Data Storage and Processing Services.
  • Proficiency in BigQuery, Dataproc, Cloud Composer, and scripting languages like Python.
  • Proven experience in orchestrating and managing complex data pipelines, including real-time and batch processing.
  • Experience in designing and managing multi-tenanted data platforms.
  • Strong skills in automating data processing tasks to streamline workflows.
  • Excellent English communication skills, both written and verbal, at a C1 level.
  • Commitment to staying current with GCP services and features and applying them to enhance data infrastructure.

About the projects you will work on

You will work 100% remotely from wherever you decide. Sometimes you may have face-to-face meetings and for that reason you have to reside in Spain.

You will work on projects with a leading company in digital transformation with a passion for technology and innovation in sectors such as banking (35 of the main banks worldwide work with our client), insurance, industrial and automotive in Big Data projects, Blockchain , AI, Cloud, among others.

About the client

  • Global presence in more than 15 markets
  • 8,000+ employees
  • more than 35 years of experience

About the process and your contractual relationship

If you are interested in this offer, we will enroll you in the process and submit your application, blindly, that is, without your contact details, to the technical and human resources department so that they can evaluate your profile and your financial expectations.

If the answer is positive, we organize the meetings so that the client knows you and explains the project in detail.

If after the meeting both parties agree on the conditions, you receive a firm offer to work with us or directly be hired by the client.

  • Equipo
  • Evaluador
  • Manager
  • Agencia
  • Cliente

Sandra Lobero

Agencia

Comentarios: 0

Teba Gomez-Monche

Agencia

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Paco Romero

Agencia

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claudia herrero

Agencia

Comentarios: 0

GFT Cliente

Cliente

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Víctor Herrero

Evaluador

Comentarios: 10

Hugo Herrero

Manager

Comentarios: 0