Gcp Data Engineer

Design, develop, and optimize scalable data pipelines using GCP services.

• Build and maintain batch and real-time data ingestion and processing frameworks.

• Develop enterprise-grade data warehousing solutions using BigQuery. • Implement ETL/ELT processes for structured and unstructured data.

• Integrate data from multiple sources including databases, APIs, files, and streaming platforms.

• Ensure data quality, governance, security, and compliance across data platforms. Optimize query performance, storage, and processing costs within GCP.

• Automate deployment and operational processes using CI/CD and Infrastructure as Code (IaC).

• Monitor data pipelines and troubleshoot production issues.

• Collaborate with Data Architects, Business Analysts, and Data Scientists to translate business requirements into technical solutions.

• Implement data models, metadata management, and data lineage best practices.

• Support migration of on-premise or multi-cloud data platforms to GCP.

• Mentor junior engineers and participate in technical design reviews.