We are helping our client to look for a skilled DevOps Engineer to join our team on a 12-month contract. This role focuses on developing and maintaining data management tools within a Microsoft ecosystem, including Azure, Power BI, and other related technologies. The ideal candidate will have strong expertise in Python and experience with data integration, automation, and CI/CD pipeline management.

Key Responsibilities:

Design, develop, and maintain data management solutions using Microsoft Data Fabric.
Implement and manage CI/CD pipelines for seamless data integration and deployment.
Work closely with data engineers, data scientists, and other teams to ensure efficient data workflows.
Automate data processing tasks using Python and scripting languages.
Monitor, troubleshoot, and optimize data management systems.
Ensure compliance with data security and industry best practices.
Document system configurations, processes, and troubleshooting procedures.

Requirements:

Proven experience in DevOps, data engineering, or a similar role.
Strong proficiency in Python and Microsoft technologies (Azure, Power BI, etc.).
Familiarity with data integration tools and best practices.
Hands-on experience with CI/CD tools such as Azure DevOps or Jenkins.
Solid understanding of data security and compliance frameworks.
Strong analytical skills and attention to detail.
Effective communication and collaboration abilities.

Preferred Qualifications:

Experience with Microsoft Data Fabric, Snowflake, or related technologies.
Relevant certifications in Azure or Microsoft platforms.
Familiarity with containerization and orchestration (Docker, Kubernetes).
At least 5 years of relevant industry experience.

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