Amazon Web Services (AWS)

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Amazon Web Services (AWS): the undisputed king of cloud computing, launched in 2006 and never looked back. It competes with Google Cloud Platform, Microsoft Azure, and a bunch
of smaller players you’ve never heard of. AWS’s key differentiator? Scale. It’s everywhere, from startups to Fortune 500s, and it’s got more services than you can shake a stick
at.

With AWS, you can spin up servers, databases, and AI models in minutes, all while paying only for what you use. It’s the go-to for companies that want to scale fast and don’t
mind a bit of complexity. But beware: AWS’s pricing is like a choose-your-own-adventure book, and you might end up in the wrong chapter if you’re not careful. Still, with its
global reach, endless services, and a community that’s bigger than most countries, AWS is the cloud for those who want it all. Just don’t forget to set up your billing alerts.

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Jobs in using Amazon Web Services (AWS) for but please no

data scientist

Staff Product Manager @ databricks

NL | 2025-12-28
This role requires a seasoned product manager with deep technical expertise in cloud infrastructure, data governance, and open-source tools, to oversee the development of a critical component of... read more »
Databricks, Data Governance, Cloud Computing, Management, Marketing, ETL/ELT, AI/ML, Computer Science, AWS, Azure, SQL, Analytics, Data Lakehouse, Spark, Delta
data scientist

Business Analyst AI Projects @ ernstandyoung

NL | 2025-12-26
EY's Business Analyst AI Projects positions you as the bridge between business stakeholders and technical squads, diagnosing AI opportunities, shaping requirements, and building ROI cases. It... read more »
Go, AI/ML, KPI, Management, Data Analytics, Data Science, Power BI, Tableau, Agile/Scrum, Data Governance, Analytics, SQL, NLP, Cloud Computing, AWS, Azure, GCP, MLOps, Python, R, Looker, Confluence, Jira, LLM, PhD, Computer Science, DevOps, IoT, GenAI, Amazon SageMaker, NoSQL, Data Streaming, API, Java, Scala, Docker, ETL/ELT
promoted

The Fundamentals of Analytics Engineering

The 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 scientist

Intern, Translational & Quantitative Data Science (Streamlining Biomarker Operations: Transforming Clinical Inventory Management with Automation and AI) @ genmab

NL | 2025-12-26
Genmab seeks an intern for its Translational Data Science team to develop a centralized biomarker inventory dashboard using R Shiny, Databricks, and AWS, integrating data from multiple sources to... read more »
Data Science, Data Management, Management, Dashboard, Databricks, AWS, DataViz, ETL/ELT, R, Data Engineering, Data Quality, AI/ML, Computer Science, Python, SQL, Agile/Scrum
data scientist

AI Engineer (Full-Stack ML Developer) @ merkle

NL | 2025-12-26
This role seeks a skilled AI Engineer to build and deploy machine learning and generative AI models across production systems. The candidate must integrate APIs, workflows, and automation tools,... read more »
AI/ML, GenAI, API, Airflow, Python, Docker, Cloud Computing, AWS, GCP, Vector DB, LLM, React, CDP, Management, Analytics, Marketing
data scientist

Data Scientist - QuantumBlack, AI by McKinsey @ quantumblack

NL | 2025-12-24
This role is a high-stakes, high-reward opportunity for a data engineer with a strong technical foundation. The position requires expertise in Python, PySpark, and cloud platforms, with a focus on... read more »
Analytics, R, AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, PhD, Computer Science, SPSS, SAS, Hadoop, Management