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2 Days ago

Senior Data Cloud Engineer

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Hyderabad, Telangana, India
Information Technology
Full-Time
KimberlyClark

Overview

Job Description

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 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

We are seeking a highly skilled and motivated Senior Data Engineer to join our Data & Analytics team supporting the International Family and Professional (IFP) segment. This role is critical to advancing our data modernization journey, enabling scalable analytics, and driving business insights across global markets. You will be responsible for designing, building, and maintaining robust data pipelines and models using Azure, Snowflake, and SAP data sources. You’ll collaborate closely with data scientists, analysts, and business stakeholders to ensure high-quality, trusted data is available for decision-making.

  • Design, develop, and optimize scalable data pipelines using Azure Data Factory and related services.
  • Integrate and transform data from SAP ECC/S4, Snowflake, and other enterprise systems to support analytics and reporting needs.
  • Build and maintain dimensional data models and data marts in Snowflake to support self-service BI and advanced analytics.
  • Collaborate with cross-functional teams (e.g., RGM, Sales, Supply Chain, Finance) to understand data requirements and deliver fit-for-purpose solutions.
  • Implement data quality checks, monitoring, and governance practices to ensure data reliability and compliance.
  • Support the development of analytics products including dashboards, predictive models, and machine learning pipelines.
  • Contribute to the evolution of our enterprise data architecture and participate in the adoption of new technologies and best practices

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 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.

Led by Purpose. Driven by You

About You

You 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 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.

Key Qualifications And Experiences

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:

  • Bachelor's or Master’s degree in computer science, Engineering, or related field.
  • 5+ years of experience in data engineering roles, preferably in a global enterprise environment.
  • Strong hands-on experience with Azure Data Factory, Azure Synapse, and Snowflake.
  • Proficiency in SQL, Python, and data modeling techniques.
  • Experience working with SAP data structures and integration patterns.
  • Familiarity with Microsoft Power BI and the broader Microsoft ecosystem.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.
  • Excellent communication and collaboration skills.
  • Experience in the CPG or healthcare industry.
  • Exposure to SAP S/4HANA and SAP BW.
  • Knowledge of data privacy and compliance standards (e.g., GDPR)

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 careers website.

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check.

Primary Location

IT Centre Bengaluru GDTC

Additional Locations

Buenos Aires - Olivos Office

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

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