Data Engineer II

📋 Description

• Collaborate with Finance stakeholders to define data requirements for reporting.
• Design, develop, and maintain scalable ELT pipelines in Google Cloud.
• Build data workflows using BigQuery, Dataform, Cloud Run, Workflows, Airflow.
• Manage infrastructure as code with Terraform and CI/CD in GitLab.
• Develop AI agents/tools to automate finance workflows and boost productivity.
• Monitor and optimize data pipelines for performance, scalability, and cost.

🎯 Requirements

• Bachelor's and/or master's degree in computer science, engineering, or related field.
• 3–5 years of hands-on data engineering with strong data warehousing knowledge.
• GCP: BigQuery, Dataform, Cloud Run, Workflows, Pub/Sub; Terraform; GitLab CI/CD.
• Python, REST/SOAP API integration, and SQL; JavaScript/Java a plus.
• ETL/ELT design and data ingestion to BigQuery/GCS; Looker/BI; ML exposure a plus.
• PST availability to support production windows; strong documentation.

🎁 Benefits

• Team-first culture and collaboration.
• Diversity and inclusive environment.
• Equal opportunity employer.