GCP Data Engineer

Job Summary We are seeking a skilled GCP Data Engineer with 5+ years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in BigQuery, GCS, Pub/Sub, Cloud Composer (Airflow), DBT, data quality frameworks, and monitoring solutions. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines on GCP. Build and optimize data ingestion frameworks using Pub/Sub , GCS , and other GCP services. Develop and manage workflows using Cloud Composer (Apache Airflow) . Create and optimize data models and transformations using DBT . Implement robust data quality checks, validation rules, and data quality scans. Design and maintain enterprise-scale data warehouses in BigQuery . Monitor production pipelines and implement proactive monitoring and alerting mechanisms. Troubleshoot and resolve data pipeline, performance, and quality issues. Collaborate with data architects, analysts, and business stakeholders to deliver data solutions. Ensure adherence to security, governance, and best practices across data platforms. Optimize query performance and cloud infrastructure costs. Mandatory Skills Google Cloud Platform (GCP) Google Cloud Storage (GCS) BigQuery Pub/Sub Cloud Composer (Apache Airflow) Monitoring & Alerting Data Engineering ETL/ELT Development Data Pipeline Design and Development Data Warehousing Concepts Advanced SQL Data Quality & Governance Data Quality Scans Data Validation Frameworks Data Monitoring and Observability Data Transformation DBT (Data Build Tool) Data Modeling Performance Optimization Programming Python SQL Required Experience 5+ years of experience in Data Engineering. Minimum 3+ years of hands-on experience in GCP Data Engineering solutions. Strong experience with BigQuery, GCS, Pub/Sub, Cloud Composer (Airflow), and DBT. Experience in implementing monitoring, alerting, and data quality frameworks. Hands-on experience in designing and supporting production-grade data pipelines. Preferred Skills Dataflow Terraform CI/CD Pipelines GitHub/GitLab Spark/PySpark Kubernetes Educational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.