Senior Cloud Data Engineer - Supply Chain

Description 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 the Role

The Cloud 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.

Main Responsibilities:

1. Design and implement secure, scalable data solutions on cloud platforms, adhering to enterprise standards and ensuring optimal data processing and storage performance.
2. Proficiency in developing data products that enable stakeholders to derive meaningful insights and make data-driven decisions. This involves creating datasets, data models, and data services tailored to specific business needs.
3. Capable of developing and managing ETL systems and APIs for efficient data access and integration, with a deep understanding of various data structures and formats for API communication.
4. Experience with Object-Relational Mapping (ORM) frameworks such as Hibernate or Entity Framework, to efficiently map data between relational databases and application code.
5. Manage sensitive data with expertise ensuring strict compliance with data privacy laws and security protocols to safeguard against unauthorized access and data breaches.
6. Master Power BI for effective data visualization through interactive dashboards and reports.
7. Database experience across systems with both relational (SQL Server, MySQL) and non-relational databases (MongoDB, graph databases), ensuring versatile data management capabilities.
8. Proficiency in programming languages such as SQL, NoSQL, Python, Java, R, and Scala.
9. Familiarity with key machine learning principles and techniques to better collaborate with data scientists and support their analytical models.
10. In-depth knowledge of Azure's cloud services, including storage solutions, toolsets, and pricing structures.

Key Qualifications and Experiences:

1. Bachelor degree in Information Management Systems, Computer Science, Engineering, or related discipline. MBA or equivalent preferred.
2. Solid experience in CPG industry.
3. 10+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
4. 10+ years of expertise in data modeling principles/methods including, Conceptual, Logical & Physical Data Models for data warehouses, data lakes and/or database management systems.
5. 5+ years of experience tailoring, configuring, and crafting solutions within the Snowflake environment.
6. 3-5+ years demonstrated expertise in architecting solutions within the Snowflake ecosystem.
7. 5-7+ years of hands-on experience designing, building, and operationalizing data solutions and applications using cloud data and analytics services in combination with 3rd parties.
8. 5+ years of hands-on relational, dimensional, and/or analytic experience.
9. 5+ years of experience with database development and scripting.
10. Strong communication and interpersonal skills.
11. Strong analytical and problem-solving skills and passion for product development.
12. Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders.
13. Professional attitude, results-oriented, and service orientation; team player.
14. Ability to translate business needs into potential analytics solutions.
15. Strong work ethic; ability to work at an abstract level and gain consensus.
16. Ability to build a sense of trust and rapport to create a comfortable and effective workplace.

Total Benefits

Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see .
Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions. Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.
Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.
Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.
Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.

To Be Considered

Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
In the meantime, please check out the. You’ll want to review this and come prepared with relevant questions when you pass GO and begin interviews.
And finally, the fine print….

Primary Location: Argentina-Buenos Aires
Additional Locations: Brazil - Sao Paulo
Worker Type: Employee
Worker Sub-Type: Regular
Time Type: Full time