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The Data Platform Engineer will join the Digital Experiences team to deliver cloud-native Big Data solutions, collaborating with engineers, product managers, and designers. Responsibilities include developing tools for data management, building high-performance solutions, writing efficient code, and contributing to the overall engineering efforts within a multi-disciplinary team following Agile and DevOps practices.

The Python Software Engineer is responsible for developing and testing cloud-native applications for the Trade Investor Platform. Key responsibilities include lifecycle development, leveraging DevOps practices, collaborating with technical specialists, and enhancing automation processes. The role requires a strong foundation in software engineering and cloud infrastructure, particularly Azure, to deliver business value efficiently.

Looking for a passionate IT professional to join as a Salesforce Developer. Responsibilities include writing high-quality code, developing integrations, testing, documenting, and maintaining solutions. Opportunity to work on global projects and contribute to the organization's Development Pillar.

The Data Engineer will design, implement, and maintain systems for efficient data processing, leveraging analytics tools and machine learning to extract insights from complex datasets and support data-driven decisions. Responsibilities include developing data pipelines, ensuring data quality, performing statistical analysis, and contributing to data infrastructure using cloud technologies.

The Test Automation Engineer is responsible for designing, implementing, and maintaining automated testing frameworks and scripts for various applications. This role involves translating requirements into test cases, leading a team of test specialists, and improving SDLC and testing processes. The engineer works with CI/CD tools, conducts functional and performance testing, and collaborates with technical teams to ensure high-quality software delivery.

As an IT Software Engineer at Procter & Gamble, you will design, develop, and maintain high-quality software applications, collaborating with cross-functional teams to analyze requirements and implement robust solutions. You will also mentor junior developers and ensure software adheres to best practices.

As a Junior GenAI Engineer, you will engage in developing Generative AI use cases, work with data models, optimize analytical solutions, and collaborate across teams to deliver advanced analytics solutions while ensuring code quality and participating in DevOps practices.