Senior Data Engineer (GCP)

Job Description

Responsabilities

• Data Pipeline Development: Construct and manage efficient data pipelines on GCP, tailored for scientific research and data analysis

• Data Exploration and Preparation: Analyze data to identify valuable features and prepare datasets for use in scientific research

• Collaborative Engineering: Work closely with other teams to understand data needs and contribute to the technical aspects of data projects.

• Technical Problem-Solving: Apply your skills in Python and SQL to solve complex data-related problems and improve data processes.

Requirements

• Based in Canada, with a strong educational background in computer science or a related field.

• Proven experience in data engineering, particularly with Python, SQL, and data structures, with a preference for candidates who have worked with Google Cloud Platform (GCP) services

• Skills in data exploration: The ability to analyze datasets and select potential features for data science research is essential.

• Excellent communication skills in English, crucial for collaboration and documentation

• A bachelor's degree in computer science or a related field.

Benefits

• Economic benefits for specializations courses and wellness.

• Professional Growth Opportunities.

• Economic bonus rewarding those who actively contribute to share knowledge and expertise.

• Work-Life Balance Initiatives.

• 100% Remote Work.