Distributed Cloud l Google Data Project

2 Months ago • 2 Years + • DevOps • Data Analyst • Undisclosed

About the job

Job Description

Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better..

Job Description

Devoteam Distributed Cloud is our Google, AWS and Azure strategy and identity within the group Devoteam. We focus on developing solutions end to end within all the 3 major Cloud Platforms and its technologies.

Our Devoteam Google Cloud Team is looking for a Cloud Data Engineer to join our Data Engineer specialists.

  • Delivery of Data projects more focused on the Engineering component;
  • Working with GCP Data Services such as BigQuery, Cloud Storage , Dataflow, Dataproc, Pub/Sub and Dataplex;
  • Write efficient SQL queries;
  • Develop data processing pipelines using programming frameworks like Apache Beam and CI/CD automatisms; 
  • Automate data engineering tasks;
  • Building and managing data pipelines, with a deep understanding of workflow orchestration, task scheduling, and dependency management;
  • Data Integration and Streaming, including data ingestion from various sources (such as databases, APIs, or logs) into GCP. 

Qualifications

  • Bachelor's degree in IT or a similar field;
  • 2+ years of professional experience in a data engineering role;
  • Experience with GCP Data Services;
  • Data warehousing knowledge;
  • Knowledge of programming languages such as Python, Java, and SQL (mandatory);
  • Experience with tools like Apache Airflow, Google Cloud Composer, or Cloud Data Fusion;
  • A code-review mindset;
  • Experience with Terraform, GitHub, Github Actions, Bash, and/or Docker;
  • Knowledge of streaming data processing using tools like Apache Kafka;
  • GCP certifications (a plus);
  • Proficiency in English (written and spoken.

Note: All of the above qualifications are optional, but it is preferred that candidates have some of them.

Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

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About The Company

Devoteam is a leading consulting firm focused on digital strategy, tech platforms, data and cybersecurity.

By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.


With 25 years’ experience and more than 10,000 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change.


Creative tech for Better Change

Amman, Amman Governorate, Jordan (On-Site)

Cité Mahrajène, Tunis, Tunisia (On-Site)

Barcelona, Catalonia, Spain (Remote)

Levallois-Perret, Île-de-France, France (On-Site)

Cité Mahrajène, Tunis, Tunisia (On-Site)

Cesson-Sévigné, Brittany, France (On-Site)

Basque Country, Spain (Remote)

Amsterdam, North Holland, Netherlands (On-Site)

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