Data Engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines and systems
• Utilize pySpark for data processing and manage Spark clusters effectively
• Work extensively with Google Cloud Platform (GCP) to deploy and manage data solutions
• Collaborate with various stakeholders and team members to understand data requirements and deliver solutions
• Ensure high-quality code through rigorous code reviews and best practices
• Implement and optimize data platforms to support business needs
• Continuously improve data engineering processes and infrastructure

Requirements:

• Minimum of 5 years of experience in Data Engineering
• Proficient in pySpark and managing Spark clusters
• Extensive experience with GCP
• Broad knowledge of data platforms and their applications
• Proven ability to work with diverse stakeholders and team members
• Strong focus on code quality and assurance
• Experience in implementing data pipelines

Our offer:

• Workplace: 100% remote 
• MultiSport Plus
• Group insurance
• Medicover Premium
• e-learning platform