GCP BigQuery Professional

Educational Requirements Service Line Responsibilities

• Data Warehousing BigQuery Development
• Design and implement data warehouse solutions using Google BigQuery
• Develop, optimize, and maintain complex SQL queries and data models
• Create efficient partitioning, clustering, and indexing strategies
• Data Pipeline Development
• Build scalable data pipelines using GCP services (Dataflow, Dataproc, Cloud Composer)
• Perform data ingestion from various sources (APIs, databases, cloud storage)
• Ensure data transformation, cleansing, and validation
• Performance Optimization
• Optimize BigQuery queries for cost and performance
• Monitor query execution and tune workloads
• Implement best practices for storage and compute efficiency
• Integration ETL/ELT
• Implement ETL/ELT workflows using BigQuery, Cloud Storage, Pub/Sub
• Integrate data from multiple cloud and on-prem systems
• Automate workflows and scheduling
• Collaboration Reporting
• Work closely with data analysts, data scientists, and business teams
• Support reporting tools like Looker, Data Studio (Looker Studio), Tableau
• Translate business requirements into scalable data solutions

Technical and Professional Requirements: Preferred Skills:

• Foundational->Development process generic->Big Data Analytics Process->Big Data
• Technology->Cloud Platform->GCP Core Services