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The Senior Cloud Data Engineer is responsible for designing and implementing secure, scalable data solutions on cloud platforms, utilizing Azure and Snowflake technology. Responsibilities include developing data products, managing ETL systems, ensuring data privacy, and collaborating with data scientists. The role requires extensive experience in data engineering and data modeling, along with proficiency in various programming languages and cloud services.

As a Scrum Master at Kimberly-Clark, you will lead the adoption of Scrum methodologies across project teams, coach teams on agile practices, facilitate ceremonies, and enhance collaborative work environments. Your role is crucial for driving operational excellence and ensuring high-value project delivery in a fast-paced setting.

The Engineering Manager & Product Owner for Digital Experience oversees mobile application development, manages a team of mobile developers, and serves as an Agile Product Owner. Responsibilities include ensuring alignment with business goals, promoting agile best practices, managing budgets and timelines, and fostering a culture of continuous improvement.

As a Quality Engineer at Kimberly-Clark, you'll develop and execute manual and automated test scripts using Selenium, perform thorough testing of web applications, ensure compliance with regulations, monitor test results, and improve testing methodologies. You'll collaborate with developers, legal teams, and participate in code reviews to enhance product quality and efficiency.

The Data Scientist - Supply Chain will contribute to building the firm's data science capabilities within supply chain management. This role involves developing prescriptive analytics solutions and operating within environments featuring imperfect data, prioritizing progress and innovation.

The Engineering Manager will lead and mentor a technical team overseeing the development of high-quality digital solutions. Responsibilities include managing project timelines and budgets, collaborating with UX/UI and product management teams, ensuring code quality and security, and driving technical strategies while fostering a culture of innovation within the team.

As a Data Engineer for Supply Chain, you'll design and implement scalable data solutions on cloud platforms, integrate Azure and Snowflake technologies, build robust data pipelines, collaborate in an agile environment, and manage data inventories for analytics and API consumption.