Data Engineer

**Your Job**

You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In your role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.

**About Us**

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.

At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on 150 years of market leadership, and we’re always looking for new and better ways to perform - so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark; you just need to log on

Led by Purpose. Driven by You.

**About You**

You’re driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.

You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.

Our Data Engineers play a crucial role in designing and operationalizing transformational enterprise data solutions on Cloud Platforms, integrating Azure services, Snowflake technology, and other third-party data technologies. Cloud Data Engineers will work closely with a multidisciplinary agile team to build high-quality data pipelines that drive analytic solutions. These solutions will generate insights from our connected data, enabling Kimberly-Clark to advance its data-driven decision-making capabilities.

If you are an agile learner, possess strong problem-solving skills, can work as part of a technical, cross-functional analytics team, and want to solve complex data problems while delivering insights that help enable our analytics strategy, we would like to hear from you.

This role is perfect for a developer passionate about leveraging cutting-edge technologies to create impactful digital products that connect with and serve our clients effectively. Kimberly-Clark has an amazing opportunity to continue leading the market, and DTS is poised to deliver compelling and robust digital capabilities, products, and solutions to support it. This role will have substantial influence in this endeavor.

**Scope/Categories**:
Role will report to the Data & Analytics Engineer Manager and Product Owner.

**Key Responsibilities**:

- ** Design and operationalize enterprise data solutions on Cloud Platforms**: Develop and implement scalable and secure data solutions on cloud platforms, ensuring they meet enterprise standards and requirements. This includes designing data architecture, selecting appropriate cloud services, and optimizing performance for data processing and storage.
- ** Integrate Azure services, Snowflake technology, and other third-party data technologies**: Seamlessly integrate various data technologies, including Azure services, Snowflake, and other third-party tools, to create a cohesive data ecosystem. This involves configuring data connectors, ensuring data flow consistency, and managing dependencies between different systems.
- ** Build and maintain high-quality data pipelines for analytic solutions**: Develop robust data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralized data warehouse or lake. Ensure these pipelines are efficient, reliable, and capable of handling large volumes of data.
- ** Collaborate with a multidisciplinary agile team** to generate insights from connected data Work closely with data scientists, analysts, and other team members in an agile environment to translate business requirements into technical solutions. Participate in sprint planning, stand-ups, and retrospectives to ensure timely delivery of data products.
- ** Manage and create data inventories for analytics and APIs to be consumed**: Develop and maintain comprehensive data inventories that catalog available data assets and their metadata. Ensure these inventories are accessible and usable by various stakeholders, including through APIs that facilitate data consumption.
- ** Design data integrations with inter