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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Jobs in using Azure Synapse Analytics for but please no
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data engineer
Senior Software Developer (Python) @ reeeliance-im-gmbh
DE | 2025-12-25
This role is a senior data engineer tasked with designing, developing, and maintaining robust backend systems, secure cloud infrastructure, and real-time data pipelines. The position requires deep...
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Cloud Computing, Python, Kafka, API, SQL, Data Streaming, Management, RDBMS, PostgreSQL, Snowflake, Azure, AWS, GCP, Kubernetes, IaC, DevOps, Data Science, Synapse, Git, CI/CD, Azure DevOps, GitLab, GitHub, Computer Science, Data Management, Analytics, DataOps, SAP | ||
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data engineer
Lead Cloud Data Engineer - Azure / Databricks (all genders) @ adesso-se
DE | 2025-12-22
Adesso markets itself as a people-first IT shop and this role mirrors that pedigree, but the job reads like a consulting heavyweight that happens to touch data pipelines. You’ll advise clients...
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DWH, Data Lake, Azure, Databricks, Cloud Computing, Data Engineering, Analytics, Delta, Synapse, Python, PySpark, IaC, CI/CD, Azure DevOps |