Data Engineer II

📋 Description

• Collaborate with Finance to define data sets for analysis and reporting.
• Design and maintain scalable ELT pipelines in GCP from diverse sources.
• Leverage GCP services (BigQuery, Dataform, Cloud Run, Workflows, Airflow, Pub/Sub) for data workflows.
• Manage infrastructure as code with Terraform and CI/CD pipelines in GitLab.
• Build AI agents and tooling to automate repetitive data workflows and boost productivity.
• Monitor pipelines for performance, reliability, and cost; PST hours support.

🎯 Requirements

• Bachelor's and/or master's in CS, Computer Engineering, or related.
• 3–5 years data engineering with data warehousing experience.
• GCP: BigQuery, Dataform, Cloud Run, Workflows, Pub/Sub; Airflow/Cloud Composer.
• REST and SOAP API data integration; Python; JS/Java a plus.
• Terraform IaC; GitLab CI/CD practices.
• Advanced SQL; Looker/Google Data Studio; ML models a plus.

🎁 Benefits

• Team-first culture and collaboration.
• Diversity and inclusion commitment.
• Opportunity to work on AI-powered automation projects.
• Growth and learning opportunities.