Description

Build and maintain complex data pipelines on Google Cloud Platform to ensure data quality, security, and availability for client solutions.

This role is hybrid.

Responsibilities

• Design and implement data pipelines to gather, integrate, and cleanse data from multiple sources.
• Develop rules and tracking processes to support data quality models and troubleshoot anomalies.
• Implement security best practices for data pipelines and infrastructure.
• Mentor junior data engineers and review their dataset implementations.
• Evaluate and propose new GCP technologies and data management improvements.

Required Skills

• 5+ years of experience as a data engineer or in a related role.
• Advanced proficiency in Python and SQL.
• Intermediate experience with Google Cloud Platform (GCP) and cloud computing concepts.
• Experience building and maintaining moderately complex data pipelines.
• Experience designing and implementing moderately complex data models.
• Advanced Git usage and CI/CD integration skills.
• BS degree in STEM or equivalent; Master’s preferred.

Preferred Skills

• GCP certification.
• Experience with AI/ML engineering or data visualization tools.
• Knowledge of cloud security and compliance standards.

Key Skills

Education

Any Graduate