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GCP Engineer

We are looking for a highly skilled GCP Engineer with expertise in BigQuery and other GCP services to design, implement, and optimize data solutions on Google Cloud Platform. The ideal candidate will have strong experience in data engineering, cloud computing, and large-scale data processing.

<div><strong>Job Description – GCP Engineer (BigQuery &amp; GCP )</strong></div><div><strong>Position:</strong> GCP Engineer</div><div><strong>Location:</strong> Tampa FL, Dallas TX, Basking Ridge NJ</div><div><strong>Employment Type:</strong> Fulltime</div><div><strong>Job Summary:</strong></div><div>We are looking for a highly skilled <strong>GCP Engineer</strong> with expertise in <strong>BigQuery</strong> and other GCP services to design, implement, and optimize data solutions on Google Cloud Platform. The ideal candidate will have strong experience in data engineering, cloud computing, and large-scale data processing.</div><div><strong>Key Responsibilities:</strong></div><ul><li>Design, develop, and optimize <strong>BigQuery</strong> data warehouses, ensuring high performance and cost efficiency.</li><li>Build and maintain scalable <strong>ETL pipelines</strong> using GCP services such as <strong>Cloud Dataflow, Cloud Dataproc, and Cloud Composer (Airflow)</strong>.</li><li>Implement <strong>data ingestion, transformation, and processing</strong> workflows using <strong>Python, SQL, and Spark</strong>.</li><li>Work with <strong>Cloud Storage, Pub/Sub, and Cloud Functions</strong> to facilitate real-time and batch data processing.</li><li>Ensure <strong>data security, governance, and compliance</strong> using IAM, encryption, and audit logging.</li><li>Collaborate with <strong>Data Scientists and Analysts</strong> to optimize query performance and enable advanced analytics.</li><li>Troubleshoot performance issues, optimize queries, and manage <strong>BigQuery cost and resource utilization</strong>.</li><li>Implement <strong>CI/CD</strong> pipelines for data workflows using <strong>Terraform and Cloud Build</strong>.</li><li>Monitor and maintain <strong>GCP infrastructure</strong>, ensuring reliability and scalability.</li></ul><div><strong>Required Skills &amp; Experience:</strong></div><ul><li><strong>10+ years of experience</strong> working as a <strong>GCP Data Engineer</strong> or similar role.</li><li>Strong expertise in <strong>Google BigQuery</strong> – performance tuning, partitioning, clustering, and cost optimization.</li><li>Hands-on experience with <strong>ETL tools and frameworks</strong>, including <strong>Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark), and Cloud Composer (Airflow)</strong>.</li><li>Proficiency in <strong>SQL, Python, and Shell scripting</strong> for data transformation and automation.</li><li>Experience with <strong>Google Cloud Storage, Pub/Sub, and Cloud Functions</strong>.</li><li>Strong understanding of <strong>GCP IAM, security best practices, and data governance</strong>.</li><li>Familiarity with <strong>Terraform, Cloud Build, and CI/CD for infrastructure automation</strong>.</li><li>Ability to work with <strong>large-scale datasets and real-time streaming data processing</strong>.</li><li>Experience in <strong>data modeling, schema design, and optimization techniques</strong>.</li><li>Strong analytical and problem-solving skills.</li></ul><div><strong>Preferred Qualifications:</strong></div><ul><li><strong>GCP Professional Data Engineer Certification</strong> is a plus.</li><li>Experience with <strong>Machine Learning workflows on GCP (Vertex AI, AutoML, TensorFlow on AI Platform)</strong> is a plus.</li><li>Experience with <strong>Kubernetes (GKE) and containerized deployments</strong> is a plus.</li></ul><div><br></div>