Hiring GCP Data Engineers having 6 years of experience for big4 firm. Location: Bangalore Job Summary: We are seeking a highly skilled Senior Google BigQuery Data Engineer to lead the design, development, and optimization of our data platform. The ideal candidate will have a deep understanding of BigQuery's architecture, capabilities, and best practices, including columnar storage, nested and repeated fields, and separation of compute and storage. A proven track record of delivering complex data warehousing solutions on the Google Cloud Platform (GCP) is essential. Responsibilities: • Architect, design, and implement scalable data solutions leveraging Google BigQuery as the core data warehouse platform, utilizing features such as partitioning, clustering, and materialized views for optimal performance. • Develop and optimize complex SQL queries and data pipelines using BigQuery for efficient data ingestion, transformation, and loading, including leveraging batch and streaming ingestion methods.



• Utilize BigQuery ML or integrate with other GCP ML services to build predictive models and derive insights from data. • Implement data governance and security best practices within the BigQuery setting, including data encryption, access controls, and auditing. • Collaborate with data analysts and business stakeholders to understand data requirements and translate them into BigQuery-based solutions, considering factors like data volume, query complexity, and latency. • Mentor and guide junior data engineers in BigQuery best practices, including query optimization, performance tuning, and data modeling techniques. • Lead data warehousing projects focused on BigQuery implementation and optimization, considering cost-efficiency, scalability, and maintainability. Qualifications: • 6 years of experience in data warehousing and business intelligence. • In-depth expertise in Google BigQuery, including advanced query optimization, performance tuning, and data modeling techniques

📌 GCP Data Engineer (India)
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📍 India