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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analytics engineer
BI Engineer @ fever-up
ES | 2025-12-25
Fever, a global tech platform for entertainment, seeks an Analytics Engineer to develop trusted data models and support self-service analytics. The role's differentiator is its emphasis on data...
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Snowflake, dbt, Airflow, Metabase, Analytics, Data Engineering, SQL, Marketing, KPI, CRM, Data Quality, BI, Python, PhD, Data Science, Data Modelling, Data Vault, Dagster, Prefect, Cloud Computing, BigQuery, Redshift, Superset, Tableau, Collibra | ||
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analytics engineer
Senior Analytics Engineer @ fever-up
ES | 2025-12-24
Fever pitches itself as a federated data platform for culture and live entertainment, and this Analytics Engineer sits at the bridge between data engineering and business analytics. You’ll design,...
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Snowflake, dbt, Airflow, Metabase, Analytics, Data Engineering, SQL, Marketing, KPI, CRM, Data Quality, BI, Python, PhD, Data Science, Data Modelling, Data Vault, Dagster, Prefect, Cloud Computing, BigQuery, Redshift, Superset, Tableau, Collibra |