Cloud Data Engineer

🔥 1 hour ago

🇹🇳 Tunisia – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Devoteam

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Devoteam is a multinational technology consulting company that specializes in delivering innovative solutions in areas such as Artificial Intelligence, Cloud Managed Services, and Cybersecurity. With a focus on business transformation, Devoteam helps organizations optimize their IT infrastructure and migrate to cloud-native architectures. They partner with leading technology providers like AWS, Google Cloud, and Microsoft to drive digital transformation and sustainable IT practices across various industries.

📋 Description

• Design, develop, and maintain robust, scalable data pipelines on Google Cloud Platform (GCP), using tools such as BigQuery, Airflow, Looker, and dbt. • Collaborate with business teams to understand data requirements and design appropriate solutions. • Optimize data processing performance and ELT processes using Airflow, dbt, and BigQuery. • Implement data quality processes to ensure data integrity and consistency. • Work closely with engineering teams to integrate data pipelines into existing applications and services. • Stay up to date with new technologies and best practices in data processing and analytics. • Join a Scrum team and focus on a specific functional area within the Data Platform department.

🎯 Requirements

• Master's degree (or equivalent) from an engineering school or university, with a specialization in computer science. • At least 2 years of experience in data engineering, with significant experience in a GCP-based cloud environment. • Advanced SQL skills for data processing and optimization. • Google Professional Data Engineer certification is a plus. • Excellent written and verbal communication skills, with a strong focus on high-quality deliverables and reporting.

🏖️ Benefits

• Free, unlimited access to e-learning platforms such as Udemy to develop skills in technologies you consider promising. • A personalized career path developed together with you. • A hybrid working policy.

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