About this role
We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have expertise in ETL/ELT development, cloud-native data processing, and workflow orchestration, while ensuring data quality, performance, and reliability.
Key Responsibilities
Design and develop batch and streaming data pipelines on GCP.Build and optimize ETL/ELT workflows using BigQuery, Dataflow, and Cloud Storage.Develop and maintain data orchestration workflows using Cloud Composer (Airflow).Optimize SQL queries and BigQuery performance.Monitor, troubleshoot, and support production data pipelines.Collaborate with cross-functional teams to deliver scalable data solutions. Required Skills
Cloud: Google Cloud Platform (GCP)GCP Services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow)Programming: Python, SQL, Shell ScriptingData Engineering: ETL/ELT, Data Warehousing, Data ModelingVersion Control & CI/CD: Git, Cloud Build/JenkinsMonitoring: Cloud Logging, Cloud MonitoringTerraform, DockerKubernetesOracle Cloud optionalOptional - OIC, ODT, golden gate, AIDP