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GCP Technical Lead

<div><strong>Job Description – Technical Lead</strong></div><div><strong>Position:</strong>&nbsp;GCP Engineer</div><div><strong>Location:</strong>&nbsp;Tampa FL, Dallas TX, Basking Ridge NJ</div><div><strong>Employment Type:</strong>&nbsp;12+ Months</div><div><br></div><div><strong>Job Summary:</strong></div><div>We are looking for a highly skilled&nbsp;<strong>GCP Engineer</strong>&nbsp;with expertise in&nbsp;<strong>BigQuery</strong>&nbsp;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><br></div><div><strong>Key Responsibilities:</strong></div><ul><li>Design, develop, and optimize&nbsp;<strong>BigQuery</strong>&nbsp;data warehouses, ensuring high performance and cost efficiency.</li><li>Build and maintain scalable&nbsp;<strong>ETL pipelines</strong>&nbsp;using GCP services such as&nbsp;<strong>Cloud Dataflow, Cloud Dataproc, and Cloud Composer (Airflow)</strong>.</li><li>Implement&nbsp;<strong>data ingestion, transformation, and processing</strong>&nbsp;workflows using&nbsp;<strong>Python, SQL, and Spark</strong>.</li><li>Work with&nbsp;<strong>Cloud Storage, Pub/Sub, and Cloud Functions</strong>&nbsp;to facilitate real-time and batch data processing.</li><li>Ensure&nbsp;<strong>data security, governance, and compliance</strong>&nbsp;using IAM, encryption, and audit logging.</li><li>Collaborate with&nbsp;<strong>Data Scientists and Analysts</strong>&nbsp;to optimize query performance and enable advanced analytics.</li><li>Troubleshoot performance issues, optimize queries, and manage&nbsp;<strong>BigQuery cost and resource utilization</strong>.</li><li>Implement&nbsp;<strong>CI/CD</strong>&nbsp;pipelines for data workflows using&nbsp;<strong>Terraform and Cloud Build</strong>.</li><li>Monitor and maintain&nbsp;<strong>GCP infrastructure</strong>, ensuring reliability and scalability.</li></ul><div><br></div><div><strong>Required Skills &amp; Experience:</strong></div><ul><li><strong>10+ years of experience</strong>&nbsp;working as a&nbsp;<strong>GCP Data Engineer</strong>&nbsp;or similar role.</li><li>Strong expertise in&nbsp;<strong>Google BigQuery</strong>&nbsp;– performance tuning, partitioning, clustering, and cost optimization.</li><li>Hands-on experience with&nbsp;<strong>ETL tools and frameworks</strong>, including&nbsp;<strong>Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark), and Cloud Composer (Airflow)</strong>.</li><li>Proficiency in&nbsp;<strong>SQL, Python, and Shell scripting</strong>&nbsp;for data transformation and automation.</li><li>Experience with&nbsp;<strong>Google Cloud Storage, Pub/Sub, and Cloud Functions</strong>.</li><li>Strong understanding of&nbsp;<strong>GCP IAM, security best practices, and data governance</strong>.</li><li>Familiarity with&nbsp;<strong>Terraform, Cloud Build, and CI/CD for infrastructure automation</strong>.</li><li>Ability to work with&nbsp;<strong>large-scale datasets and real-time streaming data processing</strong>.</li><li>Experience in&nbsp;<strong>data modeling, schema design, and optimization techniques</strong>.</li><li>Strong analytical and problem-solving skills.</li></ul><div><br></div><div><strong>Preferred Qualifications:</strong></div><ul><li><strong>GCP Professional Data Engineer Certification</strong>&nbsp;is a plus.</li><li>Experience with&nbsp;<strong>Machine Learning workflows on GCP (Vertex AI, AutoML, TensorFlow on AI Platform)</strong>&nbsp;is a plus.</li><li>Experience with&nbsp;<strong>Kubernetes (GKE) and containerized deployments</strong>&nbsp;is a plus.</li></ul><div><br></div>