Azure Synapse Analytics
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Back in the day, data warehousing meant monolithic beasts and ETL pipelines that resembled spaghetti junction. Then came the cloud, and suddenly everyone needed a “limitless” analytics service. Azure Synapse Analytics arrived as Microsoft’s attempt to unify data integration, data warehousing, and big data analytics – a noble goal, if a little ambitious. It’s essentially the lovechild of Azure SQL Data Warehouse and Azure Data Lake Analytics, promising a single platform for all your data needs.
The reality? It’s powerful, certainly, but requires a significant investment in learning and configuration. While it can handle everything, mastering the various compute engines—Spark, SQL pools, data flows—feels like becoming fluent in several programming languages simultaneously. Competitors like Snowflake offer a simpler, more managed experience, though at a cost. Synapse is gaining traction with enterprises already heavily invested in the Microsoft ecosystem, but convincing anyone else to jump ship requires demonstrating tangible benefits beyond just checking all the boxes.
Used together with Synapse
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579
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Jobs in using Azure Synapse Analytics for but please no
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data engineer
Data Engineer @ king-furniture-australia-pty-ltd-
AU | 2025-12-25
King Living seeks a data engineer to manage and optimize their data platform, integrating SAP data into Azure Data Lake and leveraging AI features in Microsoft Fabric for predictive insights. The...
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SAP, Azure, Data Lake, Fabric, ETL/ELT, AI/ML, Power BI, Analytics, Data Quality, BI, Data Engineering, Synapse, Data Modelling, SQL, Management, DevOps, CI/CD, Git, GitHub, Azure DevOps, ERP, Data Governance | ||
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data engineer
Cloud Automation Engineer - Azure @ macquarie-technology-group
AU | 2025-12-23
Macquarie Cloud Services seeks a Cloud Automation Engineer (Azure) to build from the ground up a repeatable, policy-driven Azure environment using IaC (Bicep, Terraform) and CI/CD, spanning VMs,...
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Cloud Computing, Azure, Management, IaC, Bicep, Terraform, CI/CD, AI/ML, Agile/Scrum, DevOps, Git, GitHub, Azure DevOps, Python, PowerShell, Azure Resource Manager (ARM), Databricks, Fabric, Linux, Virtual Machine, Kubernetes, API, SQL Server, Redis, SQL, MySQL, Synapse, Microsoft, Unix, Jira, C#/.NET, C, Java | ||
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promoted
Masthead DataMasthead 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. |
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data engineer
Data Engineer - Azure & Databricks @ n2sglobal
AU | 2025-12-23
This position calls for a data engineer skilled in Azure Databricks to build scalable data pipelines with the added twist that integrating diverse data sources like REST APIs and SFTP is a...
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Databricks, ETL/ELT, ADF, Spark, API, Cloud Storage, Management, Azure, Data Lake, SQL, Delta, Data Quality, Data Governance, Computer Science, Data Engineering, Python, Synapse, DWH, Big Data, Airflow, Kafka, AI/ML |