We are seeking a skilled Data Engineer with hands-on Google Cloud Platform (GCP) experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have expertise in data warehousing, ETL/ELT development, big data technologies, and GCP services to support enterprise analytics and business intelligence initiatives.

Key Responsibilities

Design, develop, and maintain scalable batch and real-time data pipelines on GCP. Build and optimize data ingestion frameworks from multiple structured and unstructured data sources. Develop ETL/ELT processes using GCP-native services and modern data engineering tools. Design and implement data models for analytics, reporting, and machine learning use cases. Manage and optimize data storage solutions using BigQuery and Cloud Storage. Monitor data quality, performance, security, and governance standards. Collaborate with business stakeholders, data analysts, architects, and data scientists to deliver enterprise data solutions. Implement CI/CD, automation, and DevOps practices for data engineering workloads. Troubleshoot data processing issues and optimize pipeline performance. Ensure compliance with data security and privacy requirements.