Amazon Redshift
Open jobs
971
Companies looking for Redshift
898
The data warehouse for those who like their analytics fast, parallel, and slightly opinionated. Redshift shines with large-scale, columnar data crunching, particularly if your SQL queries can run without tripping over joins or nested subqueries. Its distributed architecture and integration with the AWS ecosystem make it a favorite for dashboards and BI workloads. However, tread carefully—it’s notorious for needing constant tuning, from sort keys to distribution styles, to keep performance snappy. Oh, and don’t even think about skimping on vacuuming and analyzing tables unless you enjoy a sluggish query experience.
While cheaper than Snowflake in some cases, Redshift struggles with elasticity and concurrency under high demand. Use it for predictable workloads, but if your data is chaotic or scaling unpredictably, consider alternatives. In short: fast, powerful, but needy—like a high-maintenance sports car that thrives on clean data highways.
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Jobs in using Amazon Redshift for but please no
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analytics engineer
Data Analytics Engineer @ nexthink
ES | 2025-12-27
At Nexthink, the Data Analytics Engineer sits at the practical intersection of product telemetry, analytics, and data engineering—a role with real, attributable impact rather than dashboard...
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Management, Data Analytics, Data Engineering, Analytics, ETL/ELT, API, Data Modelling, Data Quality, Terraform, Jenkins, Computer Science, Power BI, QuickSight, Tableau, SQL, Python, Cloud Computing, AWS, Azure, Snowflake, GCP, DevOps, CI/CD, Docker, Modern Data Stack, dbt, AWS Glue, Athena, Redshift | ||
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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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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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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 |
