Google Data Engineer – GCP

We are seeking a Data Engineer to build and scale massive, reliable data infrastructure on Google Cloud Platform (GCP) technologies, transforming raw data into structured insights. As a core architect and builder, you will design, construct, and manage end-to-end data processing systems, focusing on robustness, efficiency, security, and high throughput. You will translate complex business requirements into scalable, fault-tolerant solutions using cutting-edge GCP technologies, including BigQuery, Dataflow, Cloud Composer, and Pub/Sub.

Requirements

• Design and build scalable data pipelines (ETL/ELT) using technologies like Dataflow (Apache Beam), Composer (Apache Airflow), and BigQuery.
• Architect and optimize data models within BigQuery for performance and cost efficiency, supporting high-volume analytical workloads.
• Collaborate with Data Scientists, Analysts, and Software Engineers to understand data needs and ensure data quality, integrity, and security across all platforms.
• Monitor and troubleshoot production data systems, implementing best practices for continuous integration and deployment (CI/CD) of data pipelines.
• Explore and recommend new data technologies and cloud services to enhance data architecture and governance.
• Hold a strong background and experience in Google (GCP) as a Data Engineer, with a deep understanding of DataOps principles and automated testing for data quality.
• Have previous experience in a similar role as a Cloud Engineer developing, implementing or managing secure Google Cloud solutions at an enterprise level.
• Be well-versed in networking concepts, including virtual private clouds (VPCs), subnets, load balancing, firewalls, and DNS.
• Hold one of the following Professional Level Google Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Google Cloud certifications.

Benefits

• Paid parental leave
• Discounted health insurance
• Discounts on various products and services
• Regular recognition and rewards for high performance
• Meaningful work and opportunities for growth
• Career development through Capability Fingerprint, industry and partner training programs, special interest groups, and an AI-driven learning platform