PostgreSQL
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Back in the days when databases weren’t quite so… ubiquitous, and everything wasn’t moving to the cloud (shocking, I know), a group of clever folks decided existing systems weren’t quite robust enough. Thus, PostgreSQL emerged – an open-source relational database promising SQL compliance, extensibility, and data integrity. It was, and remains, quite clever, really, though one does wonder if the sheer number of features occasionally borders on feature creep.
In practice, it’s a solid, reliable workhorse, favored by developers who appreciate its adherence to standards and the ability to customize it to within an inch of its life. Compared to the commercial giants like Oracle or SQL Server, it offers a compelling cost-benefit, though you’ll likely need a dedicated DBA to truly unlock its potential. Today? It powers everything from startups to enterprise applications, and is a particularly popular choice for geospatial data and complex analytical workloads. It’s not flashy, but it works, and in this industry, that’s often the highest compliment one can give.
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Jobs in using PostgreSQL for but please no
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data scientist
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AU | 2025-12-26
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Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog | ||
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data engineer
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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...
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Management, Cloud Computing, Python, DWH, BI, ETL/ELT, Data Modelling, dbt, RDBMS, Redshift, PostgreSQL, SQL Server, SQL, Docker, AWS, CI/CD, Linux, Unix | ||
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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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data scientist
Azure Advanced Cloud Engineer 2 - Japanese Speaking @ microsoft
AU | 2025-12-24
The role involves supporting Azure customers by troubleshooting complex technical issues, acting as the voice of the customer, and coordinating with product teams. A key differentiator is the...
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Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog | ||
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data scientist
Senior Azure Cloud Customer Experience Engineer @ microsoft
AU | 2025-12-24
This role involves providing technical support to Azure customers by troubleshooting issues, analyzing incident trends, and acting as a bridge between customer feedback and product teams. A unique...
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Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog | ||
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machine learning engineer
Machine Learning Engineer @ rea-group
AU | 2025-12-24
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AI/ML, GenAI, LLM, API, Cloud Computing, AWS, GCP, Amazon SageMaker, Docker, IaC, Python, DataViz, Analytics, Data Science, SQL, PyTorch, Keras, RDBMS, MySQL, PostgreSQL, BigQuery, NoSQL, Redis, DynamoDB, ELK, Amazon EC2, S3, Terraform, CloudFormation |
