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IBM

Microsoft Azure Developer

IBM

Published 10 Apr 2026
Slovakia
Full Time

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Role Highlights

Languages used

Python
Java
SCALA

Key skills

Integrations
Devops
Data Processing
Cloud
AI
Storage
Database
Operations

Tools, Libraries and Frameworks

Data Factory
IOS
SQL Server
Red Hat
Azure SQL
IBM

Description

The role involves designing, implementing, and supporting Microsoft Azure Data cloud platforms. Responsibilities include creating and maintaining data pipelines to ensure efficient data processing and integration. The individual will develop and support various data storage solutions to meet specific business requirements. Furthermore, the position requires integrating data services to enable seamless analysis. The role also entails writing high-quality code to maintain these systems and collaborating with teams to deliver effective solutions.

Required Qualifications and Skills

The role requires technical expertise in designing and supporting Microsoft Azure Data cloud platforms, including data pipelines and storage solutions. Candidates must possess proficiency in at least one programming language such as Python, TSQL, Java, R, or Scala. Experience with data integration tools like Azure Data bricks, Synapse, Microsoft Fabric, and Purview is necessary. Additionally, a working knowledge of Azure Dev Ops is required to facilitate team collaboration and solution delivery. No specific degree or professional certifications are mentioned in the text.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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