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Data Engineer

Data Engineer

Job Description

You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results.

You want to be part of a performance culture dedicated to building technology for a purpose that matters.

You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development.

In this role, you’ll help us deliver better care for billions of people around the world.  It starts with YOU. 

In this role, you will:


* As a Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and data infrastructure.

You will work closely with data scientists, analysts, and other engineering teams to ensure our data systems are robust, efficient, automated and aligned with business goals.

Your expertise will help us derive actionable insights and drive data-driven decision-making across the organization.


* Data Pipeline Development: Design, develop, and optimize scalable data pipelines for collecting, processing, and storing large volumes of data from diverse sources.


* Data Modeling: Create and maintain data models, ensuring data structures are optimized for performance and usability.


* ETL Processes: Develop and manage Extract, Transform, Load (ETL) processes to ensure data integrity and availability.


* Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and translate them into technical requirements.


* Performance Tuning: Monitor and enhance the performance of data pipelines with recommendation to owners of data systems, ensuring high availability and reliability.


* Data Quality: Implement and enforce data governance practices to maintain data quality, accuracy, and consistency.


* Technology Stack: Leverage and integrate various technologies and tools, including cloud platforms Azure ADF Databricks and data warehousing solutions and big data frameworks (e.g., Hadoop, Spark).


* Consistently demonstrates the One K-C Behaviors and DTS Culture Principles.

Maintains and evolves cultural awareness and acts with global fluency.

Adopts a test and learn, fail fast mindset with calculated risk taking.


* Demonstrates deep learning agility and promotes a learning culture.

Takes personal accountability for self-development, while building and developing talent around them.

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 more than 150 years ...




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