Cloud Engineer

Design and implement efficient SQL queries to retrieve, process, and analyze large datasets in BigQuery.
Develop and optimize BigQuery tables, views, and datasets for efficient storage and retrieval.
Create data pipelines and workflows using BigQuery, Cloud Dataflow, and other GCP tools.
Utilize Python for data manipulation, transformation, and integration with GCP services.
Optimize query performance and storage to minimize costs while maximizing efficiency.
Ensure proper partitioning and clustering of tables for effective query execution.
Monitor and troubleshoot performance issues, implementing solutions as needed.
Ensure data accuracy, consistency, and security in BigQuery.
Implement best practices for data governance, including access controls and compliance with privacy regulations.
Conduct regular data quality checks and audits to maintain high standards.
Stay updated with the latest BigQuery features and Google Cloud technologies.
Proactively identify opportunities to enhance data processes and workflows.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.