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As an IT Data Engineer at Procter & Gamble, you will design and implement data and analytics cloud-based platforms and pipelines, ensuring data is cleansed, transformed, and published effectively. You'll partner with data managers to maintain data quality and leverage coding standards to deliver efficient services in a dynamic team environment.
As a Salesforce Software Engineer, you will develop and maintain applications using Salesforce's platform capabilities. Responsibilities include writing high-quality code, performing unit testing, resolving bugs, and maintaining technical documentation while collaborating with architects and leads on the organization’s applications and solutions.
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.
The Digital Media Analytics & Insights Manager will lead analytics efforts to deliver insights and business transformation recommendations for digital/eCommerce operations. Responsibilities include managing testing requests, leveraging analytics tools, and communicating findings to key stakeholders across various teams.
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