Cloud Data Engineer - Remote

Overview

The Cloud Data Engineer will join a SCRUM team within the Data Platform department, focusing on specific functional areas and contributing to data projects by leveraging expertise in data pipeline design and maintenance on Google Cloud Platform.

In Short

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Collaborate with business teams to understand data requirements.
• Optimize data processing and ELT processes using Airflow, DBT, and BigQuery.
• Implement data quality processes to ensure data integrity.
• Work closely with engineering teams to integrate data pipelines into existing applications.
• Stay updated with new technologies and best practices in data processing and analysis.

Requirements

• Master's degree in engineering or equivalent with a specialization in computer science.
• At least 2 years of experience in data engineering, particularly in a GCP environment.
• Advanced SQL skills for data optimization and processing.
• Google Professional Data Engineer certification is a plus.
• Strong written and verbal communication skills.

Benefits

• Free and unlimited access to e-learning platforms for skill development.
• Customized career trajectory developed together.
• Hybrid work policy.