Amazon Redshift

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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 (this month)

971

Companies with Jobs

898

Jobs in using Amazon Redshift for but please no

data engineer

Senior AWS Data Engineer @ asx

AU | 2025-12-26
This role is a compelling opportunity for a senior data engineer with deep AWS expertise, but it’s a steep climb in a highly competitive field. The position requires a hands-on engineer with... read more »
Agile/Scrum, AWS, API, Data Engineering, Data Management, Analytics, Data Modelling, DWH, Data Streaming, Confluence, Kafka, Airflow, AWS Glue, Iceberg, Athena, Redshift, DataViz, Tableau, Power BI, QuickSight, Python, Spark, Terraform, Terragrunt
data engineer

Senior Data Engineer @ macquariegroup

AU | 2025-12-25
Senior Data Engineer at Macquarie’s Vulnerability Management team designs a greenfield data pipeline in a multi-cloud setting to surface and contextualise critical vulnerabilities across the... read more »
Management, Cloud Computing, Python, DWH, BI, ETL/ELT, Data Modelling, dbt, RDBMS, Redshift, PostgreSQL, SQL Server, SQL, Docker, AWS, CI/CD, Linux, Unix
promoted

Masthead Data

Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.

data engineer

Senior Data Engineer @ macquariegroup

AU | 2025-12-25
Macquarie's Post Trade Data and AI role reads like a heavyweight data engineer gig wrapped in financial compliance and stakeholder theatre. You get hands-on with AWS Redshift, Kubernetes, Python,... read more »
AI/ML, Big Data, Data Engineering, Cloud Computing, Analytics, DataViz, Redshift, Kubernetes, Python, SQL, dbt, Airflow, Dataiku, Data Modelling, Management
data engineer

Senior Data Engineer - 12 months FTC @ tpg-telecom

AU | 2025-12-23
The role involves building data pipelines and processes to support AI initiatives at TPG Telecom, with a focus on creating reusable datasets to ensure a single source of truth; a key... read more »
AI/ML, Analytics, Management, Data Engineering, Cloud Computing, Data Governance, Data Science, ETL/ELT, MLOps, Agile/Scrum, DevOps, Computer Science, SQL, Python, DWH, dimensional modeling, AWS, GCP, Azure, Modern Data Stack, dbt, Databricks, Redshift, Airflow, CI/CD, Git, Java, Terraform
data engineer

Data Engineer (SSE / Staff Engineer) - Python & Spark & AWS @ n2sglobal

AU | 2025-12-23
A Senior Software Engineer / Staff Data Engineer role focuses on designing and maintaining large-scale data pipelines with expertise in Python, Spark, and AWS. The standout feature is the... read more »
Python, Spark, AWS, Analytics, Data Governance, Data Engineering, ETL/ELT, Data Quality, Big Data, Hadoop, Hive, Kafka, Data Streaming, Cloud Computing, S3, AWS Glue, Redshift, Athena, API, DevOps, CI/CD, Jenkins, Git, Docker, Kubernetes, Management, Agile/Scrum, Scala, Data Modelling, Cyber Security, Data Lake, DWH, AI/ML