GCP Data Engineer

Role: Senior GCP Data Engineer Location: Hybrid – Onsite 2–3 days/week Type: 12-Month Contract Experience: 10+ Years Total | 5+ Years in GCP Data Engineering Key Responsibilities • Design, develop, and maintain data pipelines and ETL workflows using GCP services such as Dataflow, Dataproc, BigQuery, Cloud Composer, and Pub/Sub. • Build data lake and warehouse architectures optimized for telecom network data, IoT sensor data, and vehicle telematics. • Implement streaming and batch data processing for high-volume telecom and automotive datasets. • Develop data models and analytics frameworks supporting network optimization, predictive maintenance, connected-car analytics, and customer experience insights. • Collaborate with data scientists, ML engineers, and business teams to enable advanced analytics and machine learning workloads. • Ensure data quality, security, and governance across all GCP environments. • Automate deployment and monitoring using Terraform, Cloud Build, and CI/CD pipelines in GCP DevOps. Required Skills • 10+ years of total experience in data engineering, with 5+ years on GCP. • Strong hands-on experience with BigQuery, Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow), and Pub/Sub. • Proficiency in Python, SQL, and PySpark for data transformation and orchestration. • Deep understanding of data lake, warehouse, and streaming architectures. • Experience working with telecom OSS/BSS data, network telemetry, or automotive IoT/vehicle data. • Knowledge of data security, IAM, and governance frameworks within GCP. Preferred Skills • Familiarity with Machine Learning pipelines (Vertex AI, AI Platform). • Experience integrating real-time event data from connected devices or network systems. • Hands-on experience with Terraform, Git, and CI/CD automation in GCP. • GCP Certifications (e.g., Professional Data Engineer, Professional Cloud Architect) are a plus.