Job description
A GCP BigQuery 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 securitygovernance Key skills include SQL Python Apache Airflow and Data modelingKey ResponsibilitiesData Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiencyPipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and DataprocQuery Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usageData Integration Ingest transform and manage data from diverse sources into BigQueryGovernance Security Implement data security access controls and best practicesRequired Skills QualificationsCore Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage DataflowData Processing Experience with Apache Spark Beam or HadoopDatabase Knowledge Strong understanding of relational RDBMS and NoSQL databases
Key skills
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