Google BigQuery
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Google’s love letter to SQL fans who hate waiting. A serverless, fully-managed data warehouse, BigQuery excels at handling massive datasets without breaking a sweat—or requiring you to think about infrastructure. Its pay-as-you-go pricing model is straightforward enough to make Redshift sweat, and its seamless integration with the Google ecosystem (hello, Sheets and Looker) is a big plus.
But here’s the catch: it’s great for queries, not for transactions. Updates and deletes? Painfully slow. Complex transformations? Better off in a dedicated ETL tool. And while its flat-rate pricing option is tempting for high-volume users, the cost can balloon if you’re not diligent with query optimization or data partitioning.
Best suited for analytics-first shops with structured data and a love of SQL, BigQuery delivers on speed and simplicity—just don’t bring it to a transaction-heavy brawl.
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Jobs in using Google BigQuery for but please no
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data engineer
Data Engineer II - QuantumBlack, AI by McKinsey (Critical Industries) @ quantumblack
US | 2025-12-27
Data Engineer II role promises to design, build, and optimize modern data platforms powering analytics and AI, with a tour through streaming and batch pipelines across aerospace, utilities, and...
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Analytics, AI/ML, R, Data Streaming, Vector DB, RAG, Agile/Scrum, C, Computer Science, Data Engineering, Python, Scala, Java, SQL, Cloud Computing, AWS, GCP, Azure, Oracle, Snowflake, BigQuery, Redshift, Delta, Databricks, AWS Glue, dbt, Spark, Flink, Kafka, Kinesis, Airflow, Dagster, Prefect, CI/CD, Terraform, CloudFormation, DataOps, Datadog, Prometheus, Amazon SageMaker, MLOps, GenAI, LLM, Management | ||
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data engineer
Director, Principal Data Architect @ tiffany-and-co
US | 2025-12-26
This role is a highly demanding and complex position requiring deep expertise in GCP data architecture, DevOps, and cloud-native engineering. The candidate must lead platform enablement, mentor...
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Management, GCP, Analytics, Cloud Computing, Big Data, AI/ML, Data Streaming, Data Lake, DWH, Data Engineering, AWS, Azure, SaaS, Data Management, DevOps, CI/CD, Marketing, Agile/Scrum, BigQuery, Cloud Composer, Fivetran, Power BI, Dataiku, SQL, ETL/ELT, Jira, Azure DevOps, GitHub, Computer Science, Cyber Security, Data Quality, API, Parquet, Avro, JSON, XML, CSV, dbt, Python, Data Science | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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data engineer
Data Engineer II - QuantumBlack, AI by McKinsey @ quantumblack
US | 2025-12-22
Data Engineer II role promises high impact across clients and a culture of continuous learning, but the job description reads like a curriculum vitae for a consulting fortress: heavy emphasis on...
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Analytics, AI/ML, R, Data Streaming, Vector DB, RAG, Agile/Scrum, C, Computer Science, Data Engineering, Python, Scala, Java, SQL, PySpark, Cloud Computing, AWS, GCP, Azure, Oracle, Snowflake, BigQuery, Redshift, Delta, Databricks, AWS Glue, dbt, Spark, Flink, Kafka, Kinesis, Airflow, Dagster, Prefect, CI/CD, Terraform, CloudFormation, DataOps, Datadog, Prometheus, Amazon SageMaker, MLOps, GenAI, LLM, Management |
