Google Cloud Platform (GCP) - Data Engineer

Job Description

• Skill Set : Vertex AI
• Total Experience : 8.00 to 10.00 Years
• No of Openings : 1
• Job Post Date : 03/08/2026
• Job Expiry Date : 30/09/2026
• Domain : IT
• Location : SYDNEY [Australia]
• Job Reference No : 4099481

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Job Summary

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Key Experience & Achievements

• Experience in developing customized frameworks for data pipelines using Google Cloud Platform (GCP), Dataflow, and Apache Beam.
• Delivered multiple AI-based solutions on the GCP platform.
• Implemented DevOps/MLOps practices for automation and monitoring across the entire data and machine learning lifecycle.
• Developed MIG implementation for Reconciliation Dashboard solutions.
• Built Dataflow Flex Template Frameworks and domain-specific Python libraries.
• Designed and implemented Kubeflow Pipelines with automated pipeline creation and deployment.
• Applied DevOps methodologies to machine learning systems.
• Enabled continuous deployment of Django applications on GCP.
• Automated deployment and management of Cloud Run services.
• Implemented Secret Manager and Cloud KMS with deterministic encryption.
• Experienced in automated Cloud Build implementations.
• Performed BigQuery data extraction, preprocessing, and automated job scheduling.
• Managed model lifecycle and maintenance using GCP Model Registry.
• Developed microservices using REST APIs.
• Built customized web applications for AI Platform resource provisioning and management.
• Implemented automated CI/CD pipelines for GCP Cloud Functions.
• Deployed and managed dashboards using R Shiny and Python Django.
• Optimized application code and technical deliverables to improve performance and efficiency.

Key Skills: GCP, Dataflow, Apache Beam, BigQuery, Kubeflow, MLOps, DevOps, Cloud Run, Cloud Functions, Cloud Build, Secret Manager, Cloud KMS, Python, Django, REST APIs, AI/ML Solutions, CI/CD, R Shiny.

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