Gcp Data Engineer

Job Description

The ideal candidate will have extensive experience with Google Cloud Platform's data services, building scalable data pipelines, and implementing modern data architecture solutions. Key Responsibilities Design and implement data lake solutions using GCP Storage and Data Transfer Service Develop and maintain ETL/ELT pipelines for data processing and transformation Orchestrate complex data workflows using Cloud Composer (managed Apache Airflow) Build and optimize BigQuery data models and implement data governance practices Configure and maintain Dataplex for unified data management across our organization Implement monitoring solutions using Cloud Monitoring to ensure data pipeline reliability Create and maintain data visualization solutions using Looker for business stakeholders Collaborate with data scientists and analysts to deliver high-quality data products Required Skills & Experience 8+ years of hands-on experience with GCP data services including: Cloud Storage and Storage Transfer Service for data lake implementation BigQuery for data warehousing and analytics Cloud Composer for workflow orchestration Dataplex for data management and governance Cloud Monitoring for observability and alerting Strong experience with ETL/ELT processes and data pipeline development Proficiency in SQL and at least one programming language (Python preferred) Experience with Looker or similar BI/visualization tools Knowledge of data modeling and dimensional design principles Experience implementing data quality monitoring and validation Preferred Qualifications Google Cloud Professional Data Engineer certification Experience with streaming data processing using Dataflow or Pub/Sub Knowledge of data mesh or data fabric architectures Experience with dbt or similar transformation tools Familiarity with CI/CD practices for data pipelinesRole & responsibilities Preferred candidate profile