Amazon Redshift

data warehouse, cloud, aws, olap
Redshift logo
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.

Used together with Redshift

Additional Resources

Compare to other databases Compare to other data warehouses
Jobs (this month)

971

Companies with Jobs

898

Jobs in using Amazon Redshift for but please no

data engineer

SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic

SG | 2025-12-28
An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like... read more »
Management, Oracle, SQL Server, Cloud Computing, AI/ML, Snowflake, Databricks, Analytics, KPI, Computer Science, Data Science, PostgreSQL, MySQL, Cassandra, DWH, Redshift, Data Streaming, DevOps, AWS, Azure, Docker, Kubernetes, Agile/Scrum
data engineer

Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer @ aon

SG | 2025-12-25
Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator... read more »
Analytics, Agile/Scrum, Management, Data Analytics, Python, Java, Scala, SQL, NoSQL, DWH, Snowflake, Databricks, Redshift, ETL/ELT, Cloud Computing, AWS, Azure, GCP, AI/ML
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

Get Started
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... read more »
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