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
| Cloud Computing, Analytics, ETL/ELT, GCP, BigQuery, Big Data, Hadoop, Spark, Hive, SQL, Python, Java, Scala, DWH | |||
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data scientist
GTM Program Manager @ moloco
SG | 2025-12-28
The role at Moloco as a GTM Program Manager is technically demanding, requiring expertise in vendor management, AI automation, and cross-functional collaboration. The job emphasizes operational...
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AI/ML, Marketing, Cloud Computing, DevOps, GTM, Management, Data Analytics, KPI, Analytics, CRM, Looker, BigQuery, Go | ||
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promoted
BigQuery Cost Optimization Guide by Masthead DataThe BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of... |
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data engineer
Data Engineer - Singapore @ plaudai
SG | 2025-12-24
Plaud Inc. seeks a data professional to develop data pipelines, support data collection, and build datasets for AI evaluation, with a notable emphasis on data security practices. The role offers...
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AI/ML, GDPR/CCPA, Cyber Security, Analytics, Data Collection, Data Engineering, Analytics Engineering, SQL, Python, Go, Scala, ETL/ELT, Airflow, Prefect, Dagster, BigQuery, Snowflake, Redshift, Tableau, Looker, Superset, Data Modelling, Data Governance |