A GCP Big Query professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing security governance Key skills include SQL Python Apache Airflow and Data modeling Key Responsibilities Data Architecture Modeling Design and optimize Big Query data models schemas and storage for performance and cost efficiency Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc Query Optimization Write complex SQL scripts and tune performance to minimize Big Query slot usage Data Integration Ingest transform and manage data from diverse sources into Big Query Governance Security Implement data security access controls and best practices Required Skills Qualifications Core Technical Proficiency in Google SQL Python and Google Cloud Platform GCP services ...