GCP Data Engineer only W2

One of my Clients is Hiring for GCP Data Engineer at Charlotte, NC-Hybrid for Long term Contract. Location: Charlotte, NC (3days Hybrid) Type: Long Term Contract Overall 10+ years exp for a highly experienced Google Cloud Engineer with deep expertise in Python, Django, Spark, and Google Cloud Platform (GCP) to design, build, and optimize scalable, cloud-native data and analytics solutions. Key Responsibilities Design, develop, and maintain cloud-native backend applications using Python and Django on GCP Build and optimize Apache Spark / PySpark pipelines for large-scale batch and streaming data processing Architect end-to-end solutions leveraging GCP services such as Compute Engine, GKE, Cloud Run, BigQuery, Dataproc, Dataflow, Cloud Storage, and Pub/Sub Develop secure, scalable RESTful APIs and microservices using Django and Django REST Framework Ensure high availability, performance, and scalability of applications and data pipelines Implement CI/CD pipelines and Infrastructure as Code (Terraform, Cloud Build, GitHub/GitLab) Apply best practices for security, authentication, authorization, and data protection Monitor, troubleshoot, and optimize production workloads using Cloud Monitoring and Logging Collaborate with product managers, data engineers, and platform teams to deliver business-critical solutions Required Skills & Qualifications 10+ years of professional experience in software or cloud engineering Strong hands-on experience with Google Cloud Platform (GCP) Extensive experience with Django and Django REST Framework Strong hands-on experience with Apache Spark / PySpark Solid understanding of distributed systems, microservices architecture, and REST APIs Experience with BigQuery, SQL optimization, and data modeling Experience with Dataproc, Dataflow, or managed Spark environments Proficiency with Docker, Kubernetes (GKE), and Linux Experience with CI/CD, version control, and automated testing #J-18808-Ljbffr CDI Solutions