GCP Data Engineer

Role Overview We are looking for an experienced **GCP Data Engineer** with strong hands\-on experience in **Google BigQuery, dbt, and Google Kubernetes Engine (GKE)** . The ideal candidate will be responsible for designing, developing, and maintaining scalable cloud data solutions on Google Cloud Platform. Key Responsibilities * Design and develop scalable data pipelines and data platforms using **Google Cloud Platform (GCP)** . * Develop and optimize complex **BigQuery** datasets, tables, views, and SQL queries. * Build and maintain data transformation workflows using **dbt** . * Develop reusable dbt models, macros, tests, and documentation. * Implement data quality, validation, and monitoring frameworks. * Deploy and manage data applications and services using **Google Kubernetes Engine (GKE)** . * Work with cloud\-native services to build scalable and highly available data solutions. * Optimize BigQuery performance and control query/storage costs. * Develop and maintain ETL/ELT pipelines for batch and near\-real\-time data processing. * Integrate data from multiple sources into GCP\-based data platforms. * Implement CI/CD pipelines for data engineering and cloud deployments. * Work closely with Data Architects, Analysts, Developers, and business stakeholders. * Follow security, governance, data quality, and compliance standards. Mandatory Skills * Strong hands\-on experience with **Google Cloud Platform (GCP)** . * Excellent experience with **Google BigQuery** . * Strong experience with **dbt (Data Build Tool)** . * Hands\-on experience with **Google Kubernetes Engine (GKE)** . * Strong SQL development and query optimization skills. * Experience developing **ETL/ELT data pipelines** . * Experience with Python or another programming language. * Understanding of cloud data warehouse and data lake concepts. * Experience with Git and CI/CD practices. Good to Have * Google Cloud Dataflow * Cloud Composer / Apache Airflow * Pub/Sub * Cloud Storage * Dataproc * Terraform * Docker * Kubernetes * Looker * Vertex AI * GCP security and IAM * Data governance and data quality frameworks