GCP Data Engineer (RARR Job 6220)

Google Cloud - Cloud - GCP (Technical) Sr. Data Engineer / Sr. BI Developer - DA&A responsible for leading GCP platform engineering, data engineering, and BI solutions delivery. Candidate must have relevant experience of 5 to 9 Years. The role focuses on designing, implementing, and optimizing GCP-based data platforms, ensuring robust, scalable, and secure data and analytics environments.

Key Responsibilities

• Act as GCP Lead Platform Engineer for data and analytics initiatives, providing technical leadership across design, implementation, and operations.
• Design, set up, and configure core GCP services including Compute Engine, Cloud Storage, DataProc, Composer, and Terraform-based infrastructure.
• Configure and fine-tune various configuration parameters for each GCP service and explain how those parameters change the behaviour of the GCP service for users.
• Build and maintain scalable data pipelines and platforms to support DA&A (Data, Analytics & Automation) use cases.
• Implement Infrastructure as Code (IaC) using Terraform for repeatable, consistent, and secure GCP environment provisioning.
• Design and manage networking components including VPC, subnets, routing, and Cloud DNS for secure and performant connectivity.
• Collaborate with security and platform teams to embed security best practices across GCP services and data platforms.
• Support and, where applicable, administer GKE environments, working closely with application and data teams.
• Implement and optimize observability using Google Cloud Monitoring and Logging for system health, performance, and reliability.
• Work with BI and analytics teams to ensure data platforms meet reporting, dashboarding, and advanced analytics requirements.
• Troubleshoot and resolve platform, performance, and configuration issues across GCP services.
• Document architectures, configurations, and operational runbooks for ongoing support and knowledge sharing.

Other Capabilities

• Ability to translate business and analytics requirements into scalable GCP platform designs.
• Strong problem-solving mindset with focus on reliability, performance, and cost optimization.
• Effective collaboration skills to work with cross-functional teams including data engineers, BI developers, architects, and security teams.
• Capability to mentor junior engineers and contribute to best practices and standards for GCP usage.

Qualifications and Skills

• Proven experience as Sr. Data Engineer, Sr. BI Developer, or GCP Platform Engineer working on data and analytics platforms.
• Expert knowledge is must in core GCP services (Compute Engine, Cloud Storage, DataProc, Composer, Terraform).
• Strong understanding of various configuration parameters for each of the above GCP services and how those parameters impact service behaviour for users.
• Solid experience in Networking (VPC, Cloud DNS) and security practices in GCP.
• GKE administration is huge plus.
• Familiarity with Google Cloud Monitoring and Logging for system observability.
• Experience with data engineering or BI development in cloud environments, preferably on GCP.
• Strong scripting or automation skills (e.g., Python, shell) are desirable.
• Good communication skills to explain technical concepts and configuration impacts to stakeholders