Job Description

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

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