GCP Data Engineer

Experience: 5+ YearsEmployment Type: Full-TimeRole OverviewWe are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.Key Skills – MandatoryBigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.Google Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.Airflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.Python – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.Vertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.Good to Have / Added AdvantageDataproc – Experience with distributed data processing and Spark-based workloads.Cloud Data Fusion – Experience in building and managing data integration pipelines.Cloud Run – Understanding of deploying and running containerized applications/services on GCP.Experience with ETL/ELT processes and data pipeline development.Knowledge of GCP data architecture and cloud-native services.Experience in data quality, validation, monitoring, and troubleshooting.ResponsibilitiesDesign, develop, and maintain scalable GCP-based data pipelines.Build and optimize data solutions using BigQuery and Cloud Storage.Develop and manage workflows using Airflow / Cloud Composer.Write efficient and reusable Python code for data processing and automation.Support Vertex AI integrations and AI/ML data workflows.Monitor pipeline performance and troubleshoot data processing issues.Work with cross-functional teams to understand data requirements and deliver reliable solutions.Implement best practices for data security, quality, scalability, and performance.You must have : 5+ years of overall experience in Data Engineering.Strong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.Strong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.Dataproc, Data Fusion, and Cloud Run experience will be an added advantage.