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About the role
Position: Senior GCP Data Engineer Location: Remote Project Duration: 3+ Months (extendable subject to availability) Job Overview: We are seeking a highly skilled 6-7 Years experienced Senior GCP Data Engineer to design, develop, and optimize scalable, cloud-native data pipelines and AI-ready data platforms on Google Cloud. The ideal candidate will have strong hands-on experience with GCP services and modern data engineering practices. Key Responsibilities: Design and build scalable, high-performance data pipelines on Google Cloud Develop and maintain batch and real-time (streaming) data processing systems Optimize data workflows for performance, reliability, and scalability Collaborate with cross-functional teams to support AI/ML data requirements Ensure data quality, governance, and security best practices Manage and monitor production-grade data pipelines Required Skills: Strong hands-on experience with Google Cloud Platform (GCP) Expertise in BigQuery, Cloud SQL, Pub/Sub, and Vertex AI Proficiency in Python and PySpark for data engineering workloads Experience with Dataflow and Dataproc for batch and streaming pipelines Hands-on experience with Apache Airflow for workflow orchestration Strong understanding of data architecture and pipeline design Excellent communication and collaboration skills
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