Azure Synapse Analytics
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579
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531
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
Project Manager │ プロジェクトマネージャー @ persol-career-brs
JP | 2025-12-28
| JPY
8000000 - 15000000
/ year
Project Manager for IoT and cloud-based digital transformation at a giant IT services firm, Tokyo-based with remote options. You’ll lead IoT cloud platform development for a world-class...
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Cloud Computing, IoT, AI/ML, Management, Agile/Scrum, Azure, SQL, Data Lake, Synapse, Analytics, Databricks | ||
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analytics engineer
【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア/データサイエンティスト @ honda
JP | 2025-12-25
| JPY
5900000 - 1090000
/ year
Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web....
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AI/ML, ETL/ELT, Python, SQL, JavaScript, C, AWS, Redshift, AWS Glue, AWS Lambda, GCP, BigQuery, Dataflow, Azure, Synapse, Databricks, Docker, Kubernetes, Jenkins, GitHub, GitLab, Jira, Confluence, Tableau, Power BI, Superset, Pandas, TensorFlow, PyTorch, GenAI, R, CI/CD | ||
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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
Cloud & AI Platforms, Senior Data Solution Engineer (大手のお客様向けプリセールス エンジニア) @ microsoft
JP | 2025-12-24
This role involves guiding enterprise clients through secure, scalable cloud database and analytics solutions, with a notable focus on Azure datastores and analytics portfolios. It offers a unique...
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Analytics, AI/ML, Cloud Computing, Microsoft, Azure, Fabric, BI, Databricks, Data Governance, SQL, Cosmos, PostgreSQL, Teradata, Netezza, Hadoop, Computer Science, BigQuery, Redshift, Snowflake, DWH, Data Lake, Big Data, Cyber Security, Management, Oracle, Synapse | ||
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data engineer
Data Solution Engineer @ microsoft
JP | 2025-12-24
This role involves guiding clients through the modernization of their data platforms using Azure Databases and Analytics, with a notable focus on customer engagement through proofs of concept and...
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AI/ML, Microsoft, Cloud Computing, Analytics, Fabric, BI, Databricks, Data Governance, Azure, SQL, Cosmos, PostgreSQL, Teradata, Netezza, Hadoop, BigQuery, Redshift, Snowflake, DWH, Data Lake, Big Data, Cyber Security, Management, Oracle, Synapse |