Data Engineer - Manufacturing

Data Engineer - Manufacturing

Job Description

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.

Main 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, an...