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As a Senior Azure DevOps Engineer, you will design, implement, and maintain Azure DevOps pipelines for data engineering processes. Your responsibilities include optimizing cloud infrastructure using Infrastructure as Code with Terraform and Python, managing CI/CD pipelines, collaborating with cross-functional teams, and continuously monitoring for performance and security improvements. You will take ownership of brownfield implementations and support the transition to a mesh architecture.

The Odoo Functional Consultant will work with clients to analyze their needs, configure and customize Odoo modules, train users, and support them post-implementation. You will also identify necessary improvements and optimizations based on metrics and client feedback.

As an Oracle Database Engineer, you will design, develop, and optimize PL/SQL procedures, ensure database performance and security, deploy applications in Unix/Linux, automate tasks with shell scripts, customize Oracle EBS modules, and collaborate with teams to integrate PLM solutions.

The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.

The Odoo Technical Consultant will analyze client requirements, design Odoo architecture solutions, implement and customize Odoo applications, provide training and support to clients, and collaborate with the development team to maintain and update custom solutions.

The Senior DevOps Engineer will design, implement, and maintain Azure-based CI/CD pipelines. Responsibilities include using Infrastructure as Code for managing infrastructure, collaborating with teams to enhance platform efficiency, and optimizing performance and security of data platforms.

The Senior Python Developer will be responsible for migrating legacy on-premises integration platforms to modern, cloud-native solutions by developing integration components using Python and AWS services, ensuring scalability and resilience in solutions, and managing cloud infrastructure with Infrastructure as Code tools.