Microsoft SQL Server
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626
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584
Back in the day, when data resided in files and accessing it felt like an archaeological dig, Microsoft SQL Server emerged as a beacon of structured order. It promised to tame the chaos, offering relational database management with a GUI that even a marketing executive could navigate. Quite clever, really, though one does wonder if all those wizards actually saved time.
The reality? It's a robust, occasionally Byzantine system. While it delivers on its promises of scalability and data integrity, achieving that nirvana often involves endless indexing, stored procedure tweaking, and a deep understanding of execution plans. Compared to the open-source alternatives like PostgreSQL, it’s a decidedly proprietary beast, locked into the Microsoft ecosystem. Still, countless enterprises – particularly those already steeped in .NET – rely on it to power their critical applications. It's a workhorse, undeniably, even if it occasionally throws a tantrum.
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Jobs in using Microsoft SQL Server for but please no
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data engineer
SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic
SG | 2025-12-28
An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like...
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Management, Oracle, SQL Server, Cloud Computing, AI/ML, Snowflake, Databricks, Analytics, KPI, Computer Science, Data Science, PostgreSQL, MySQL, Cassandra, DWH, Redshift, Data Streaming, DevOps, AWS, Azure, Docker, Kubernetes, Agile/Scrum | ||
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data engineer
Data Engineer @ singaporepsa
SG | 2025-12-27
Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is...
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Analytics, AI/ML, API, Big Data, Cloud Computing, ETL/ELT, Data Quality, Azure, Management, CI/CD, Computer Science, Data Engineering, DWH, RDBMS, SQL Server, NoSQL, Python, Microsoft, SSIS, Informatica, Data Governance, Power BI, DAX, ADF, Data Lake, SQL, Azure DevOps, TensorFlow, PyTorch, Keras, Hadoop, Hive, Spark, Databricks |