Job Title : Google Cloud Platform (GCP) - Data Engineer

Locaion : Sydney

Mode:Permanent

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.

Interested candidates can send their updated resume to [email protected] or reach me @ M: 61283195529

📌 Google Cloud Platform (GCP) - Data Enginee (Sydney)
🏢 CareCone Group
📍 Sydney