15 azure sql English-speaking jobs in Hesse

. ■ You already have comprehensive knowledge of Hyperscalers (Azure, AWS, GCP), Infrastructure-as-a-Service

. ■ You already have comprehensive knowledge of Hyperscalers (Azure, AWS, GCP), Infrastructure-as-a-Service

also establish the necessary tooling and infrastructure for deploying AI models on platforms such as Azure ... Utilizing tools like Python, Databricks, SQL, Docker, and LangGraph, you will develop multimodal agents ... learning and GenAI techniques  Proficient in Python for data processing and ML tasks  Expertise in SQL

: Germany (Fully Remote) Contract Duration: 12 Months Experience: 10+ Years Tech Stack: STIBO MDM | Azure ... Overview We are looking for a highly experienced Principal Consultant with deep expertise in STIBO MDM and Azure ... deliver scalable, enterprise‑level applications Architect and build cloud‑native solutions on Microsoft Azure ... Strong hands‑on expertise with STIBO MDM Proven experience in Solution Architecture Strong background in Azure

databases, APIs, CSV, Elasticsearch, batch and real-time systems) Proficiency in programming languages: SQL

RAC, ASM, Dataguard, and performance tuning • Experience with backup & recovery strategies • Strong SQL

systems (MaBiS, GPKE, WiM, BKV) • Proficient with Excel; exposure to digital reporting systems (Power BI, SQL

Familiarity with other database technologies (e.g., PostgreSQL, SQL Server, NoSQL) is a plus.

Stata, R, Python) Good knowledge of SQL would be an advantage Strong command of written and spoken English

basic security topics • Virtualization, storage, or backup • Microsoft environment (AD, M365, basic Azure

MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming

Coding knowledge in Python and SQL Sound understanding of concepts and algorithms in the field of ML,

scalability, testability, etc.Build and deploy production ready machine learning applications on AWS, Azure

scalability, testability, etc.Build and deploy production ready machine learning applications on AWS, Azure

globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure