Microsoft Azure
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4875
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Microsoft, when the world moved to the cloud, didn't want to be left holding the on-premise bag. Thus emerged Azure, a platform promising to deliver everything-as-a-service with the comforting familiarity of Windows Server underneath. It aimed to be the enterprise’s easy transition, a way to lift-and-shift workloads without retraining entire departments. The reality, of course, is a bit messier. Azure is powerful, undeniably, but navigating its vast ecosystem can feel like exploring a Byzantine bureaucracy.
It’s essentially Amazon Web Services, but with a distinctly Microsoft flavor – meaning more integration with existing Microsoft products, and a pricing structure that requires a PhD in economics to decipher. While AWS still dominates, Azure has carved out a strong niche with enterprises already deeply invested in the Microsoft stack. Today, it's a mature platform, powering everything from simple websites to complex AI applications, and constantly battling AWS and Google Cloud for cloud supremacy – a battle fought largely in PowerPoint presentations and quarterly earnings reports.
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Jobs in using Microsoft Azure for but please no
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data engineer
2026 Intern - Enterprise Marketing AI Data Engineer @ adobe
US | 2025-12-27
| USD
38 - 51
/ hour
Adobe’s Enterprise Marketing Data Engineering AI Intern slots you into the data pipeline for AEP, RTCDP and CJA, building AI-enabled marketing data products and prototypes while collaborating with...
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Marketing, Data Engineering, AI/ML, CDP, Analytics, GenAI, Databricks, Spark, Python, Data Modelling, Go, Data Quality, Computer Science, SQL, PySpark, ETL/ELT, Cloud Computing, Azure, AWS, GCP, DataViz, Power BI, Tableau | ||
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data engineer
Software Engineer @ liveramp
US | 2025-12-25
| USD
99500 - 155000
/ year
LiveRamp seeks engineers to develop scalable identity resolution solutions within a cloud-agnostic SaaS platform, emphasizing privacy and security. The standout is their global, customizable...
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SaaS, Cloud Computing, GCP, AWS, Snowflake, Databricks, Azure, IaC, Docker, Kubernetes, Terraform, Data Science, Data Streaming, API, Marketing, Management, Java, Python, Go, Big Data, Spark, Airflow, Dataflow, BigQuery, Cloud Storage, AI/ML, Data Analytics | ||
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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 engineer
Data Engineer – Analytics & ETL @ talent-software-services
US | 2025-12-23
A hands-on Data Engineer – Analytics & ETL in Mountain View, tasked with onboarding data streams, building scalable ETL pipelines in Azure Data Factory and Logic Apps, migrating estates to Fabric,...
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Analytics, ETL/ELT, Data Streaming, Dashboard, Fabric, Azure, ADF, Data Modelling, SQL, Power BI, Data Engineering, Splunk, Python, Bash, DataViz, Grafana, Data Governance, Cloud Computing, Microsoft | ||
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data engineer
Senior Data Engineer @ autodesk
US | 2025-12-23
| USD
130600 - 211200
/ year
Seeking a Principal Data Engineer to lead data infrastructure design supporting ML, personalization, and search systems. A key differentiator is the opportunity to influence strategic initiatives...
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AI/ML, Data Science, RAG, Data Engineering, Agile/Scrum, Analytics, Kafka, Flink, SQL, NoSQL, Vector DB, Python, Java, Big Data, Spark, Parquet, Iceberg, Delta, ETL/ELT, Cloud Computing, AWS, Azure, GCP, DWH, Snowflake, Redshift, Data Modelling, Computer Science, PhD, Pinecone, ELK, Data Streaming, MLOps |
