Senior Data Engineer (GCP) – 8+ Years Experience

Job Summary We are looking for a highly skilled Senior Data Engineer with 8+ years of experience in designing, developing, and modernizing enterprise-scale data platforms. The ideal candidate should have strong expertise in Google Cloud Platform (GCP) and hands-on experience building scalable data pipelines, data migration, and modernization initiatives. Key Responsibilities Design, develop, and optimize end-to-end data pipelines on Google Cloud Platform (GCP). Build and maintain scalable ETL/ELT solutions using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Composer. Lead data modernization and migration projects from legacy/on-premise systems to GCP. Implement data integration, transformation, and orchestration processes for large-scale datasets. Ensure data quality, governance, security, and performance best practices. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data-driven solutions. Required Skills 8+ years of experience in Data Engineering and Data Warehousing. Strong hands-on experience with GCP Data Engineering services. Expertise in building batch and real-time data pipelines. Proficiency in SQL, Python, and ETL/ELT frameworks. Experience with BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Composer (Airflow), and Pub/Sub. Knowledge of data modeling, performance tuning, and cloud-native architectures. Experience in data migration and modernization programs. Preferred Qualifications GCP Professional Data Engineer Certification. Experience with CI/CD, DevOps, and Infrastructure as Code (Terraform). Exposure to modern data lake/lakehouse architectures.